diff --git a/.gitignore b/.gitignore index 49b0e93..687c468 100644 --- a/.gitignore +++ b/.gitignore @@ -48,3 +48,20 @@ ehthumbs_vista.db # Testing coverage/ .nyc_output/ + +# Environment variables +.env +.env.local +.env.development.local +.env.test.local +.env.production.local + +# Runtime data +pids +*.pid +*.seed +*.pid.lock + +# OS files +.DS_Store +Thumbs.db diff --git a/convert_to_base64.html b/convert_to_base64.html new file mode 100644 index 0000000..3bc931d --- /dev/null +++ b/convert_to_base64.html @@ -0,0 +1,131 @@ + + + + + + Image to Base64 Converter + + + +

Image to Base64 Converter for MCP Testing

+

Use this tool to convert a local image to a base64 string that can be used with the MCP server's multi_image_analysis tool.

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+ +
+ +
+

Image Preview:

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+

Base64 String:

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+

How to use with MCP:

+
+
+{
+  "images": [
+    {
+      "url": "PASTE_BASE64_STRING_HERE"
+    }
+  ],
+  "prompt": "Please describe this image in detail. What does it show?",
+  "model": "qwen/qwen2.5-vl-32b-instruct:free"
+}
+
+
+
+
+ + + + \ No newline at end of file diff --git a/convert_to_base64.py b/convert_to_base64.py new file mode 100644 index 0000000..0e688f7 --- /dev/null +++ b/convert_to_base64.py @@ -0,0 +1,89 @@ +#!/usr/bin/env python3 +import base64 +import argparse +import os +import sys +from pathlib import Path + + +def convert_image_to_base64(image_path): + """Convert an image file to base64 encoding with data URI prefix""" + # Get file extension and determine mime type + file_ext = os.path.splitext(image_path)[1].lower() + mime_type = { + '.png': 'image/png', + '.jpg': 'image/jpeg', + '.jpeg': 'image/jpeg', + '.gif': 'image/gif', + '.webp': 'image/webp', + '.bmp': 'image/bmp' + }.get(file_ext, 'application/octet-stream') + + # Read binary data and encode to base64 + try: + with open(image_path, 'rb') as img_file: + img_data = img_file.read() + base64_data = base64.b64encode(img_data).decode('utf-8') + return f"data:{mime_type};base64,{base64_data}" + except Exception as e: + print(f"Error: {e}", file=sys.stderr) + return None + + +def save_base64_to_file(base64_data, output_path): + """Save base64 data to a file""" + try: + with open(output_path, 'w') as out_file: + out_file.write(base64_data) + print(f"Base64 data saved to {output_path}") + return True + except Exception as e: + print(f"Error saving file: {e}", file=sys.stderr) + return False + + +def main(): + parser = argparse.ArgumentParser(description='Convert image to base64 for MCP server testing') + parser.add_argument('image_path', help='Path to the image file') + parser.add_argument('-o', '--output', help='Output file path (if not provided, output to console)') + + args = parser.parse_args() + + # Check if file exists + image_path = Path(args.image_path) + if not image_path.exists(): + print(f"Error: File not found: {args.image_path}", file=sys.stderr) + return 1 + + # Convert image to base64 + base64_data = convert_image_to_base64(args.image_path) + if not base64_data: + return 1 + + # Output base64 data + if args.output: + success = save_base64_to_file(base64_data, args.output) + if not success: + return 1 + else: + print("\nBase64 Image Data:") + print(base64_data[:100] + "..." if len(base64_data) > 100 else base64_data) + print("\nTotal length:", len(base64_data)) + print("\nTo use with MCP server in multi_image_analysis:") + print(''' +{ + "images": [ + { + "url": "''' + base64_data[:20] + '... (full base64 string)" ' + ''' + } + ], + "prompt": "Please describe this image in detail. What does it show?", + "model": "qwen/qwen2.5-vl-32b-instruct:free" +} +''') + + return 0 + + +if __name__ == "__main__": + sys.exit(main()) \ No newline at end of file diff --git a/encode_image.sh b/encode_image.sh new file mode 100644 index 0000000..9f37ab7 --- /dev/null +++ b/encode_image.sh @@ -0,0 +1,78 @@ +#!/bin/bash + +# Check if an image file is provided +if [ $# -lt 1 ]; then + echo "Usage: $0 [output_file]" + echo "Example: $0 test.png base64_output.txt" + exit 1 +fi + +IMAGE_FILE="$1" +OUTPUT_FILE="${2:-}" # Use the second argument as output file, if provided + +# Check if the image file exists +if [ ! -f "$IMAGE_FILE" ]; then + echo "Error: Image file '$IMAGE_FILE' does not exist." + exit 1 +fi + +# Get the file extension and determine MIME type +FILE_EXT="${IMAGE_FILE##*.}" +MIME_TYPE="application/octet-stream" # Default MIME type + +case "$FILE_EXT" in + png|PNG) + MIME_TYPE="image/png" + ;; + jpg|jpeg|JPG|JPEG) + MIME_TYPE="image/jpeg" + ;; + gif|GIF) + MIME_TYPE="image/gif" + ;; + webp|WEBP) + MIME_TYPE="image/webp" + ;; + *) + echo "Warning: Unknown file extension. Using generic MIME type." + ;; +esac + +# Convert image to base64 +echo "Converting '$IMAGE_FILE' to base64..." + +# Different commands based on OS +if [ "$(uname)" == "Darwin" ]; then + # macOS + BASE64_DATA="data:$MIME_TYPE;base64,$(base64 -i "$IMAGE_FILE")" +else + # Linux and others + BASE64_DATA="data:$MIME_TYPE;base64,$(base64 -w 0 "$IMAGE_FILE")" +fi + +# Output the base64 data +if [ -n "$OUTPUT_FILE" ]; then + # Save to file if output file is specified + echo "$BASE64_DATA" > "$OUTPUT_FILE" + echo "Base64 data saved to '$OUTPUT_FILE'" + echo "Total length: ${#BASE64_DATA} characters" +else + # Display a preview and length if no output file + echo "Base64 Image Data (first 100 chars):" + echo "${BASE64_DATA:0:100}..." + echo "Total length: ${#BASE64_DATA} characters" + + echo "" + echo "To use with MCP server in multi_image_analysis:" + echo '{ + "images": [ + { + "url": "'"${BASE64_DATA:0:20}"'... (full base64 string)" + } + ], + "prompt": "Please describe this image in detail. What does it show?", + "model": "qwen/qwen2.5-vl-32b-instruct:free" +}' +fi + +exit 0 \ No newline at end of file diff --git a/full_base64.txt b/full_base64.txt new file mode 100644 index 0000000..24ec54a --- /dev/null +++ b/full_base64.txt @@ -0,0 +1,1594 @@ +data:image/jpeg;base64,iVBORw0KGgoAAAANSUhEUgAAAZ0AAAFkCAIAAAB0IHEkAAAAA3NCSVQICAjb4U/gAAAAGXRFWHRT +b2Z0d2FyZQBnbm9tZS1zY3JlZW5zaG907wO/PgAAIABJREFUeJzsvVuzJNl5HbbWtzPrnNPdMz33 +AcC54TaAQBIgBNLiJUhRF1KUQjRlhiWGZPvVL3LYL3b4wS8M/wo7bMkRdtB+MWVHSJREU6JkCqJF +QKJIgAQxxH0wGGAwl57p2zlVufe3/PDtnZXn0jOn7z09e01FTVZVZlZmns5V67tTEjo6OjpuCEsC +iWWSkkje2N5IujtJM3N3M7uB3bLzWkdHx80g2MfdJQUN3RipBWZGmndyA3vrvNbR0XHjmAnkOB/d +/G6vtat31G5280fQ0dHxnkXwi6RYuFWkFvvRAjOXLUntWrKs67WOjo4bxxG9dkt4DQtqw0luu1ie +v+64dut6raOj48ZxRK/dqt0uSW2p0Y4ruHnh0OZdr3V0dNwwbpNeO/IVR3Z7olm6pLLOax0dHTeF +ORsjFm7rd51on8bLJfd1O7Sjo+Ndg2W4YLkcBum80PVaR0fHNXGy9+ok0+/22aFvf2w4HBWtgYXO +ax0dHSdi6ca61vtHknLvyhEuXwLgcSbu6Oh4z+KICjtRl13r/Sh+upN6bYkjfrfOax0dHcBJ6ux4 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determined + mime_type = "application/octet-stream" + + # Read and encode the image + with open(image_path, "rb") as image_file: + encoded_string = base64.b64encode(image_file.read()).decode("utf-8") + + # Return data URI + return f"data:{mime_type};base64,{encoded_string}" + except Exception as e: + print(f"Error converting image to base64: {e}") + raise + +def send_image_direct_api(base64_image, question="What's in this image?"): + """Send an image to OpenRouter using direct API call""" + try: + print("Sending image via direct API call...") + + headers = { + "Authorization": f"Bearer {OPENROUTER_API_KEY}", + "Content-Type": "application/json", + "HTTP-Referer": "https://your-site-url.com", # Optional + "X-Title": "Your Site Name" # Optional + } + + payload = { + "model": "anthropic/claude-3-opus", # Choose an appropriate model with vision capabilities + "messages": [ + { + "role": "user", + "content": [ + { + "type": "text", + "text": question + }, + { + "type": "image_url", + "image_url": { + "url": base64_image + } + } + ] + } + ] + } + + response = requests.post( + "https://openrouter.ai/api/v1/chat/completions", + headers=headers, + json=payload + ) + + response.raise_for_status() # Raise exception for non-200 responses + data = response.json() + + print("Response from direct API:") + print(data["choices"][0]["message"]["content"]) + except Exception as e: + print(f"Error sending image via direct API: {e}") + if hasattr(e, "response") and e.response: + print(f"API error details: {e.response.text}") + +def send_image_openai_sdk(base64_image, question="What's in this image?"): + """Send an image to OpenRouter using OpenAI SDK""" + try: + print("Sending image via OpenAI SDK...") + + # Initialize the OpenAI client with OpenRouter base URL + client = OpenAI( + api_key=OPENROUTER_API_KEY, + base_url="https://openrouter.ai/api/v1", + default_headers={ + "HTTP-Referer": "https://your-site-url.com", # Optional + "X-Title": "Your Site Name" # Optional + } + ) + + # Create the message with text and image + completion = client.chat.completions.create( + model="anthropic/claude-3-opus", # Choose an appropriate model with vision capabilities + messages=[ + { + "role": "user", + "content": [ + { + "type": "text", + "text": question + }, + { + "type": "image_url", + "image_url": { + "url": base64_image + } + } + ] + } + ] + ) + + print("Response from OpenAI SDK:") + print(completion.choices[0].message.content) + except Exception as e: + print(f"Error sending image via OpenAI SDK: {e}") + +def send_image_from_base64_file(base64_file_path, question="What's in this image?"): + """Use a pre-encoded base64 file (e.g., from bash script)""" + try: + print("Sending image from base64 file...") + + # Read the base64 data from file + with open(base64_file_path, "r") as file: + base64_data = file.read().strip() + + # Initialize the OpenAI client + client = OpenAI( + api_key=OPENROUTER_API_KEY, + base_url="https://openrouter.ai/api/v1" + ) + + # Create the message with text and image + completion = client.chat.completions.create( + model="anthropic/claude-3-opus", + messages=[ + { + "role": "user", + "content": [ + { + "type": "text", + "text": question + }, + { + "type": "image_url", + "image_url": { + "url": base64_data + } + } + ] + } + ] + ) + + print("Response when using base64 file:") + print(completion.choices[0].message.content) + except Exception as e: + print(f"Error sending image from base64 file: {e}") + +def main(): + try: + # Convert the image to base64 + base64_image = image_to_base64(IMAGE_PATH) + print("Image converted to base64 successfully") + + # Example 1: Using direct API call + send_image_direct_api(base64_image) + + # Example 2: Using OpenAI SDK + send_image_openai_sdk(base64_image) + + # Example 3: Using a base64 file (if you have one) + # send_image_from_base64_file("path/to/base64.txt") + + except Exception as e: + print(f"Error in main function: {e}") + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/openrouter-image-sdk.js b/openrouter-image-sdk.js new file mode 100644 index 0000000..2ca9d50 --- /dev/null +++ b/openrouter-image-sdk.js @@ -0,0 +1,247 @@ +/** + * OpenRouter Image Analysis using OpenAI SDK + * + * This script demonstrates how to analyze local images using OpenRouter's API + * through the OpenAI SDK. It supports both command-line usage and can be imported + * as a module for use in other applications. + * + * Usage: + * - Direct: node openrouter-image-sdk.js [prompt] + * - As module: import { analyzeImage } from './openrouter-image-sdk.js' + * + * Environment variables: + * - OPENROUTER_API_KEY: Your OpenRouter API key (required) + */ + +import 'dotenv/config'; +import { promises as fs } from 'fs'; +import path from 'path'; +import { fileURLToPath } from 'url'; +import { dirname } from 'path'; +import { OpenAI } from 'openai'; + +// ES Module compatibility +const __filename = fileURLToPath(import.meta.url); +const __dirname = dirname(__filename); + +// Constants +const DEFAULT_MODEL = 'qwen/qwen2.5-vl-32b-instruct:free'; +const MAX_RETRIES = 2; +const RETRY_DELAY = 1000; // milliseconds + +/** + * Convert a local image file to base64 format + * + * @param {string} filePath - Path to the image file + * @returns {Promise} - Base64 encoded image with data URI prefix + */ +export async function imageToBase64(filePath) { + try { + // Ensure the file exists + try { + await fs.access(filePath); + } catch (error) { + throw new Error(`Image file not found: ${filePath}`); + } + + // Read the file + const imageBuffer = await fs.readFile(filePath); + + // Determine MIME type based on file extension + const fileExt = path.extname(filePath).toLowerCase(); + let mimeType = 'application/octet-stream'; + + switch (fileExt) { + case '.png': + mimeType = 'image/png'; + break; + case '.jpg': + case '.jpeg': + mimeType = 'image/jpeg'; + break; + case '.webp': + mimeType = 'image/webp'; + break; + case '.gif': + mimeType = 'image/gif'; + break; + default: + console.warn(`Unknown file extension: ${fileExt}, using default MIME type`); + } + + // Convert to base64 and add the data URI prefix + const base64 = imageBuffer.toString('base64'); + return `data:${mimeType};base64,${base64}`; + } catch (error) { + console.error('Error converting image to base64:', error); + throw new Error(`Failed to convert image to base64: ${error.message}`); + } +} + +/** + * Sleep for a specified amount of time + * + * @param {number} ms - Milliseconds to sleep + * @returns {Promise} + */ +const sleep = (ms) => new Promise(resolve => setTimeout(resolve, ms)); + +/** + * Analyze an image using OpenRouter's API via OpenAI SDK + * + * @param {Object} options - Options for image analysis + * @param {string} options.imagePath - Path to the local image file + * @param {string} [options.imageBase64] - Base64 encoded image (alternative to imagePath) + * @param {string} [options.prompt="Please describe this image in detail."] - The prompt to send with the image + * @param {string} [options.model=DEFAULT_MODEL] - The model to use for analysis + * @param {string} [options.apiKey] - OpenRouter API key (defaults to OPENROUTER_API_KEY env var) + * @returns {Promise} - The analysis results + */ +export async function analyzeImage({ + imagePath, + imageBase64, + prompt = "Please describe this image in detail.", + model = DEFAULT_MODEL, + apiKey +}) { + // Check for API key + const openrouterApiKey = apiKey || process.env.OPENROUTER_API_KEY; + if (!openrouterApiKey) { + throw new Error('OpenRouter API key is required. Set OPENROUTER_API_KEY in your environment or pass it as an option.'); + } + + // Check that we have either imagePath or imageBase64 + if (!imagePath && !imageBase64) { + throw new Error('Either imagePath or imageBase64 must be provided.'); + } + + // Get base64 data if not provided + let base64Data = imageBase64; + if (!base64Data && imagePath) { + console.log(`Converting image at ${imagePath} to base64...`); + base64Data = await imageToBase64(imagePath); + console.log('Image converted successfully!'); + } + + // Initialize the OpenAI client with OpenRouter base URL + const openai = new OpenAI({ + apiKey: openrouterApiKey, + baseURL: 'https://openrouter.ai/api/v1', + defaultHeaders: { + 'HTTP-Referer': 'https://github.com/stabgan/openrouter-mcp-multimodal', + 'X-Title': 'OpenRouter Local Image Analysis' + } + }); + + // Implement retry logic + let lastError = null; + for (let attempt = 0; attempt <= MAX_RETRIES; attempt++) { + try { + if (attempt > 0) { + console.log(`Retry attempt ${attempt}/${MAX_RETRIES}...`); + await sleep(RETRY_DELAY * attempt); // Exponential backoff + } + + console.log(`Sending image analysis request to model: ${model}`); + + // Create the message with text and image + const completion = await openai.chat.completions.create({ + model, + messages: [ + { + role: 'user', + content: [ + { + type: 'text', + text: prompt + }, + { + type: 'image_url', + image_url: { + url: base64Data + } + } + ] + } + ] + }); + + // Extract the relevant information from the response + if (completion && completion.choices && completion.choices.length > 0) { + const result = { + analysis: completion.choices[0].message.content, + model: completion.model, + usage: completion.usage, + requestId: completion.id, + finishReason: completion.choices[0].finish_reason + }; + + return result; + } else { + throw new Error('Unexpected response structure from OpenRouter API.'); + } + } catch (error) { + lastError = error; + + // If this is a 402 Payment Required error, we won't retry + if (error.status === 402 || (error.response && error.response.status === 402)) { + console.error('Payment required error. Not retrying.'); + break; + } + + if (attempt === MAX_RETRIES) { + console.error('Maximum retry attempts reached.'); + } + } + } + + // If we've exhausted all retries, throw the last error + throw lastError || new Error('Failed to analyze image after multiple attempts.'); +} + +/** + * Command line interface for image analysis + */ +async function main() { + try { + const args = process.argv.slice(2); + + if (args.length === 0) { + console.log('Usage: node openrouter-image-sdk.js [prompt]'); + console.log('Example: node openrouter-image-sdk.js test.png "What objects do you see in this image?"'); + process.exit(0); + } + + const imagePath = args[0]; + const prompt = args[1] || "Please describe this image in detail. What do you see?"; + + console.log(`Analyzing image: ${imagePath}`); + console.log(`Prompt: ${prompt}`); + + const result = await analyzeImage({ imagePath, prompt }); + + console.log('\n----- Analysis Results -----\n'); + console.log(result.analysis); + console.log('\n----------------------------\n'); + + console.log('Model used:', result.model); + if (result.usage) { + console.log('Token usage:'); + console.log('- Prompt tokens:', result.usage.prompt_tokens); + console.log('- Completion tokens:', result.usage.completion_tokens); + console.log('- Total tokens:', result.usage.total_tokens); + } + } catch (error) { + console.error('Error:', error.message); + if (error.response) { + console.error('API error details:', JSON.stringify(error.response, null, 2)); + } + process.exit(1); + } +} + +// Run the main function directly +main().catch(error => { + console.error('Fatal error:', error); + process.exit(1); +}); \ No newline at end of file diff --git a/package-lock.json b/package-lock.json index af274fa..9cf7522 100644 --- a/package-lock.json +++ b/package-lock.json @@ -1,12 +1,12 @@ { "name": "@stabgan/openrouter-mcp-multimodal", - "version": "1.2.0", + "version": "1.3.0", "lockfileVersion": 3, "requires": true, "packages": { "": { "name": "@stabgan/openrouter-mcp-multimodal", - "version": "1.2.0", + "version": "1.3.0", "license": "MIT", "dependencies": { "@modelcontextprotocol/sdk": "^1.8.0", diff --git a/package.json b/package.json index 8fe32ed..d2c25e0 100644 --- a/package.json +++ b/package.json @@ -1,6 +1,6 @@ { "name": "@stabgan/openrouter-mcp-multimodal", - "version": "1.3.0", + "version": "1.4.0", "description": "MCP server for OpenRouter providing text chat and image analysis tools", "type": "module", "main": "dist/index.js", diff --git a/send_image_to_openrouter.js b/send_image_to_openrouter.js new file mode 100644 index 0000000..1863881 --- /dev/null +++ b/send_image_to_openrouter.js @@ -0,0 +1,259 @@ +// Send an image to OpenRouter using JavaScript +import { promises as fs } from 'fs'; +import path from 'path'; +import axios from 'axios'; +import { OpenAI } from 'openai'; +import { fileURLToPath } from 'url'; +import { dirname } from 'path'; + +console.log("Starting script..."); + +// Constants +const OPENROUTER_API_KEY = process.env.OPENROUTER_API_KEY || 'your_openrouter_api_key'; // Get from env or replace +const IMAGE_PATH = process.argv[2] || 'test.png'; // Get from command line or use default +const DEFAULT_MODEL = 'qwen/qwen2.5-vl-32b-instruct:free'; + +console.log(`Arguments: ${process.argv.join(', ')}`); +console.log(`Using image path: ${IMAGE_PATH}`); + +// Load environment variables from .env file +async function loadEnv() { + try { + const __filename = fileURLToPath(import.meta.url); + const __dirname = dirname(__filename); + const envPath = path.join(__dirname, '.env'); + const envFile = await fs.readFile(envPath, 'utf-8'); + + envFile.split('\n').forEach(line => { + const match = line.match(/^\s*([\w.-]+)\s*=\s*(.*)?\s*$/); + if (match) { + const key = match[1]; + let value = match[2] || ''; + + // Remove quotes if they exist + if (value.length > 0 && value.charAt(0) === '"' && value.charAt(value.length - 1) === '"') { + value = value.replace(/^"|"$/g, ''); + } + + process.env[key] = value; + } + }); + + console.log('Environment variables loaded from .env file'); + } catch (error) { + console.error('Error loading .env file:', error.message); + } +} + +/** + * Convert an image file to base64 + */ +async function imageToBase64(filePath) { + try { + // Read the file + const imageBuffer = await fs.readFile(filePath); + + // Determine MIME type based on file extension + const fileExt = path.extname(filePath).toLowerCase(); + let mimeType = 'application/octet-stream'; + + switch (fileExt) { + case '.png': + mimeType = 'image/png'; + break; + case '.jpg': + case '.jpeg': + mimeType = 'image/jpeg'; + break; + case '.webp': + mimeType = 'image/webp'; + break; + // Add other supported types as needed + } + + // Convert to base64 and add the data URI prefix + const base64 = imageBuffer.toString('base64'); + return `data:${mimeType};base64,${base64}`; + } catch (error) { + console.error('Error converting image to base64:', error); + throw error; + } +} + +/** + * Example 1: Send a base64 image using the MCP server analyze_image tool + */ +async function testMcpAnalyzeImage(base64Image, question = "What's in this image?") { + try { + console.log('Testing MCP analyze_image tool with base64 image...'); + + // This would normally be handled by the MCP server client + // This is a simulation of how to structure the data for the MCP server + console.log(` +To analyze the image using MCP, send this request to the MCP server: + +{ + "tool": "mcp_openrouter_analyze_image", + "arguments": { + "image_path": "${base64Image.substring(0, 50)}...", // Truncated for display + "question": "${question}", + "model": "${DEFAULT_MODEL}" + } +} + +The MCP server will convert the image path (which is already a base64 data URL) +and send it to OpenRouter in the correct format. +`); + } catch (error) { + console.error('Error testing MCP analyze_image:', error); + } +} + +/** + * Example 2: Send multiple base64 images using the MCP server multi_image_analysis tool + */ +async function testMcpMultiImageAnalysis(base64Images, prompt = "Describe these images in detail.") { + try { + console.log('Testing MCP multi_image_analysis tool with base64 images...'); + + // Create the images array for the MCP request + const images = base64Images.map(base64 => ({ url: base64 })); + + // This would normally be handled by the MCP server client + // This is a simulation of how to structure the data for the MCP server + console.log(` +To analyze multiple images using MCP, send this request to the MCP server: + +{ + "tool": "mcp_openrouter_multi_image_analysis", + "arguments": { + "images": [ + { "url": "${base64Images[0].substring(0, 50)}..." } // Truncated for display + ${base64Images.length > 1 ? `, { "url": "${base64Images[1].substring(0, 50)}..." }` : ''} + ${base64Images.length > 2 ? ', ...' : ''} + ], + "prompt": "${prompt}", + "model": "${DEFAULT_MODEL}" + } +} + +The MCP server will process these base64 images and send them to OpenRouter +in the correct format. +`); + } catch (error) { + console.error('Error testing MCP multi_image_analysis:', error); + } +} + +/** + * Example 3: Direct OpenRouter API call with base64 image (for comparison) + */ +async function sendImageDirectAPI(base64Image, question = "What's in this image?", apiKey) { + try { + console.log('Sending image directly to OpenRouter API (for comparison)...'); + + const response = await axios.post( + 'https://openrouter.ai/api/v1/chat/completions', + { + model: DEFAULT_MODEL, + messages: [ + { + role: 'user', + content: [ + { + type: 'text', + text: question + }, + { + type: 'image_url', + image_url: { + url: base64Image + } + } + ] + } + ] + }, + { + headers: { + 'Authorization': `Bearer ${apiKey}`, + 'Content-Type': 'application/json', + 'HTTP-Referer': 'https://github.com/yourusername/your-repo', + 'X-Title': 'MCP Server Demo' + } + } + ); + + console.log('\nDirect API response:'); + console.log(response.data.choices[0].message.content); + } catch (error) { + console.error('Error sending image via direct API:', error); + if (error.response) { + console.error('API error details:', error.response.data); + } + } +} + +/** + * Main function to run the examples + */ +async function main() { + try { + // Load environment variables from .env file + await loadEnv(); + + // Get API key from environment after loading + const apiKey = process.env.OPENROUTER_API_KEY || OPENROUTER_API_KEY; + + // Debug: Show if API key is set in environment + console.log(`API key from environment: ${process.env.OPENROUTER_API_KEY ? 'Yes (set)' : 'No (not set)'}`); + console.log(`Using API key: ${apiKey === 'your_openrouter_api_key' ? 'Default placeholder (update needed)' : 'From environment'}`); + + // Check if API key is provided + if (apiKey === 'your_openrouter_api_key') { + console.error('Please set the OPENROUTER_API_KEY environment variable or update the script.'); + return; + } + + console.log(`Converting image: ${IMAGE_PATH}`); + + // Check if the image file exists + try { + await fs.access(IMAGE_PATH); + console.log(`Image file exists: ${IMAGE_PATH}`); + } catch (err) { + console.error(`Error: Image file does not exist: ${IMAGE_PATH}`); + return; + } + + // Convert the image to base64 + const base64Image = await imageToBase64(IMAGE_PATH); + console.log('Image converted to base64 successfully.'); + console.log(`Base64 length: ${base64Image.length} characters`); + console.log(`Base64 starts with: ${base64Image.substring(0, 50)}...`); + + // For multiple images demo, we'll use the same image twice + const base64Images = [base64Image, base64Image]; + + // Example 1: MCP server with analyze_image + await testMcpAnalyzeImage(base64Image); + + // Example 2: MCP server with multi_image_analysis + await testMcpMultiImageAnalysis(base64Images); + + // Example 3: Direct API call (if API key is available) + if (apiKey !== 'your_openrouter_api_key') { + await sendImageDirectAPI(base64Image, "What's in this image?", apiKey); + } + + console.log('\nDone! You can now use the MCP server with base64 encoded images.'); + } catch (error) { + console.error('Error in main function:', error); + } +} + +// Run the main function directly +console.log("Running main function..."); +main().catch(error => { + console.error("Unhandled error in main:", error); +}); \ No newline at end of file diff --git a/send_image_to_openrouter.ts b/send_image_to_openrouter.ts new file mode 100644 index 0000000..1830094 --- /dev/null +++ b/send_image_to_openrouter.ts @@ -0,0 +1,160 @@ +import fs from 'fs/promises'; +import path from 'path'; +import OpenAI from 'openai'; +import axios from 'axios'; + +// Constants +const OPENROUTER_API_KEY = 'your_openrouter_api_key'; // Replace with your actual key +const IMAGE_PATH = 'path/to/your/image.jpg'; // Replace with your image path + +/** + * Convert an image file to base64 + */ +async function imageToBase64(filePath: string): Promise { + try { + // Read the file + const imageBuffer = await fs.readFile(filePath); + + // Determine MIME type based on file extension + const fileExt = path.extname(filePath).toLowerCase(); + let mimeType = 'application/octet-stream'; + + switch (fileExt) { + case '.png': + mimeType = 'image/png'; + break; + case '.jpg': + case '.jpeg': + mimeType = 'image/jpeg'; + break; + case '.webp': + mimeType = 'image/webp'; + break; + // Add other supported types as needed + } + + // Convert to base64 and add the data URI prefix + const base64 = imageBuffer.toString('base64'); + return `data:${mimeType};base64,${base64}`; + } catch (error) { + console.error('Error converting image to base64:', error); + throw error; + } +} + +/** + * Method 1: Send an image to OpenRouter using direct API call + */ +async function sendImageDirectAPI(base64Image: string, question: string = "What's in this image?"): Promise { + try { + console.log('Sending image via direct API call...'); + + const response = await axios.post( + 'https://openrouter.ai/api/v1/chat/completions', + { + model: 'anthropic/claude-3-opus', // Choose an appropriate model with vision capabilities + messages: [ + { + role: 'user', + content: [ + { + type: 'text', + text: question + }, + { + type: 'image_url', + image_url: { + url: base64Image + } + } + ] + } + ] + }, + { + headers: { + 'Authorization': `Bearer ${OPENROUTER_API_KEY}`, + 'Content-Type': 'application/json', + 'HTTP-Referer': 'https://your-site-url.com', // Optional + 'X-Title': 'Your Site Name' // Optional + } + } + ); + + console.log('Response from direct API:'); + console.log(response.data.choices[0].message.content); + } catch (error) { + console.error('Error sending image via direct API:', error); + if (axios.isAxiosError(error) && error.response) { + console.error('API error details:', error.response.data); + } + } +} + +/** + * Method 2: Send an image to OpenRouter using OpenAI SDK + */ +async function sendImageOpenAISDK(base64Image: string, question: string = "What's in this image?"): Promise { + try { + console.log('Sending image via OpenAI SDK...'); + + // Initialize the OpenAI client with OpenRouter base URL + const openai = new OpenAI({ + apiKey: OPENROUTER_API_KEY, + baseURL: 'https://openrouter.ai/api/v1', + defaultHeaders: { + 'HTTP-Referer': 'https://your-site-url.com', // Optional + 'X-Title': 'Your Site Name' // Optional + } + }); + + // Create the message with text and image + const completion = await openai.chat.completions.create({ + model: 'anthropic/claude-3-opus', // Choose an appropriate model with vision capabilities + messages: [ + { + role: 'user', + content: [ + { + type: 'text', + text: question + }, + { + type: 'image_url', + image_url: { + url: base64Image + } + } + ] + } + ] + }); + + console.log('Response from OpenAI SDK:'); + console.log(completion.choices[0].message.content); + } catch (error) { + console.error('Error sending image via OpenAI SDK:', error); + } +} + +/** + * Main function to run the examples + */ +async function main() { + try { + // Convert the image to base64 + const base64Image = await imageToBase64(IMAGE_PATH); + console.log('Image converted to base64 successfully'); + + // Example 1: Using direct API call + await sendImageDirectAPI(base64Image); + + // Example 2: Using OpenAI SDK + await sendImageOpenAISDK(base64Image); + } catch (error) { + console.error('Error in main function:', error); + } +} + +// Run the examples +main(); \ No newline at end of file diff --git a/src/index.ts b/src/index.ts index 585a315..c27c23c 100644 --- a/src/index.ts +++ b/src/index.ts @@ -15,7 +15,7 @@ class OpenRouterMultimodalServer { constructor() { // Retrieve API key and default model from environment variables const apiKey = process.env.OPENROUTER_API_KEY; - const defaultModel = process.env.DEFAULT_MODEL || DEFAULT_MODEL; + const defaultModel = process.env.OPENROUTER_DEFAULT_MODEL || DEFAULT_MODEL; // Check if API key is provided if (!apiKey) { diff --git a/src/tool-handlers.ts b/src/tool-handlers.ts index 6811ed1..0adb55e 100644 --- a/src/tool-handlers.ts +++ b/src/tool-handlers.ts @@ -137,7 +137,7 @@ export class ToolHandlers { properties: { image_path: { type: 'string', - description: 'Path to the image file to analyze (must be an absolute path)', + description: 'Path to the image file to analyze (can be an absolute file path, URL, or base64 data URL starting with "data:")', }, question: { type: 'string', @@ -167,7 +167,7 @@ export class ToolHandlers { properties: { url: { type: 'string', - description: 'URL or data URL of the image (use file:// URL prefix for local files, http(s):// for web images, or data: for base64 encoded images)', + description: 'URL or data URL of the image (use http(s):// for web images, absolute file paths for local files, or data:image/xxx;base64,... for base64 encoded images)', }, alt: { type: 'string', diff --git a/src/tool-handlers/analyze-image.ts b/src/tool-handlers/analyze-image.ts index 13e72ef..785aa87 100644 --- a/src/tool-handlers/analyze-image.ts +++ b/src/tool-handlers/analyze-image.ts @@ -1,14 +1,32 @@ import path from 'path'; import { promises as fs } from 'fs'; -import sharp from 'sharp'; +import fetch from 'node-fetch'; import { McpError, ErrorCode } from '@modelcontextprotocol/sdk/types.js'; import OpenAI from 'openai'; -import fetch from 'node-fetch'; import { findSuitableFreeModel } from './multi-image-analysis.js'; // Default model for image analysis const DEFAULT_FREE_MODEL = 'qwen/qwen2.5-vl-32b-instruct:free'; +let sharp: any; +try { + sharp = require('sharp'); +} catch (e) { + console.error('Warning: sharp module not available, using fallback image processing'); + // Mock implementation that just passes through the base64 data + sharp = (buffer: Buffer) => ({ + metadata: async () => ({ width: 800, height: 600 }), + resize: () => ({ + jpeg: () => ({ + toBuffer: async () => buffer + }) + }), + jpeg: () => ({ + toBuffer: async () => buffer + }) + }); +} + export interface AnalyzeImageToolRequest { image_path: string; question?: string; @@ -49,10 +67,34 @@ async function fetchImageAsBuffer(url: string): Promise { } } +/** + * Processes an image with minimal processing when sharp isn't available + */ +async function processImageFallback(buffer: Buffer): Promise { + try { + // Just return the buffer as base64 without processing + return buffer.toString('base64'); + } catch (error) { + console.error('Error in fallback image processing:', error); + throw error; + } +} + async function processImage(buffer: Buffer): Promise { try { + if (typeof sharp !== 'function') { + console.warn('Using fallback image processing (sharp not available)'); + return processImageFallback(buffer); + } + // Get image metadata - const metadata = await sharp(buffer).metadata(); + let metadata; + try { + metadata = await sharp(buffer).metadata(); + } catch (error) { + console.warn('Error getting image metadata, using fallback:', error); + return processImageFallback(buffer); + } // Calculate dimensions to keep base64 size reasonable const MAX_DIMENSION = 800; @@ -81,39 +123,56 @@ async function processImage(buffer: Buffer): Promise { return jpegBuffer.toString('base64'); } catch (error) { - console.error('Error processing image:', error); - throw error; + console.error('Error processing image, using fallback:', error); + return processImageFallback(buffer); } } /** - * Converts the image at the given path to a base64 string + * Processes an image from a path or base64 string to a proper base64 format for APIs */ -async function imageToBase64(imagePath: string): Promise<{ base64: string; mimeType: string }> { +async function prepareImage(imagePath: string): Promise<{ base64: string; mimeType: string }> { try { - // Ensure the image path is absolute - if (!path.isAbsolute(imagePath)) { - throw new McpError( - ErrorCode.InvalidParams, - 'Image path must be absolute' - ); + // Check if already a base64 data URL + if (imagePath.startsWith('data:')) { + const matches = imagePath.match(/^data:([A-Za-z-+\/]+);base64,(.+)$/); + if (!matches || matches.length !== 3) { + throw new McpError(ErrorCode.InvalidParams, 'Invalid base64 data URL format'); + } + return { base64: matches[2], mimeType: matches[1] }; + } + + // Check if image is a URL + if (imagePath.startsWith('http://') || imagePath.startsWith('https://')) { + try { + const buffer = await fetchImageAsBuffer(imagePath); + const processed = await processImage(buffer); + return { base64: processed, mimeType: 'image/jpeg' }; // We convert everything to JPEG + } catch (error: any) { + throw new McpError(ErrorCode.InvalidParams, `Failed to fetch image from URL: ${error.message}`); + } + } + + // Handle file paths + let absolutePath = imagePath; + + // Ensure the image path is absolute if it's a file path + if (!imagePath.startsWith('data:') && !path.isAbsolute(imagePath)) { + throw new McpError(ErrorCode.InvalidParams, 'Image path must be absolute'); } - // Check if the file exists try { - await fs.access(imagePath); + // Check if the file exists + await fs.access(absolutePath); } catch (error) { - throw new McpError( - ErrorCode.InvalidParams, - `File not found: ${imagePath}` - ); + throw new McpError(ErrorCode.InvalidParams, `File not found: ${absolutePath}`); } // Read the file as a buffer - const buffer = await fs.readFile(imagePath); + const buffer = await fs.readFile(absolutePath); // Determine MIME type from file extension - const extension = path.extname(imagePath).toLowerCase(); + const extension = path.extname(absolutePath).toLowerCase(); let mimeType: string; switch (extension) { @@ -137,12 +196,11 @@ async function imageToBase64(imagePath: string): Promise<{ base64: string; mimeT mimeType = 'application/octet-stream'; } - // Convert buffer to base64 - const base64 = buffer.toString('base64'); - - return { base64, mimeType }; + // Process and optimize the image + const processed = await processImage(buffer); + return { base64: processed, mimeType }; } catch (error) { - console.error('Error converting image to base64:', error); + console.error('Error preparing image:', error); throw error; } } @@ -160,23 +218,21 @@ export async function handleAnalyzeImage( try { // Validate inputs if (!args.image_path) { - throw new McpError(ErrorCode.InvalidParams, 'An image path is required'); + throw new McpError(ErrorCode.InvalidParams, 'An image path, URL, or base64 data is required'); } - if (!args.question) { - throw new McpError(ErrorCode.InvalidParams, 'A question about the image is required'); - } + const question = args.question || "What's in this image?"; - console.error(`Processing image: ${args.image_path}`); + console.error(`Processing image: ${args.image_path.substring(0, 100)}${args.image_path.length > 100 ? '...' : ''}`); // Convert the image to base64 - const { base64, mimeType } = await imageToBase64(args.image_path); + const { base64, mimeType } = await prepareImage(args.image_path); // Create the content array for the OpenAI API const content = [ { type: 'text', - text: args.question + text: question }, { type: 'image_url', diff --git a/src/tool-handlers/multi-image-analysis.ts b/src/tool-handlers/multi-image-analysis.ts index 850c45e..181dd14 100644 --- a/src/tool-handlers/multi-image-analysis.ts +++ b/src/tool-handlers/multi-image-analysis.ts @@ -1,5 +1,6 @@ import fetch from 'node-fetch'; -import sharp from 'sharp'; +// Remove the sharp import to avoid conflicts with our dynamic import +// import sharp from 'sharp'; import { McpError, ErrorCode } from '@modelcontextprotocol/sdk/types.js'; import OpenAI from 'openai'; import path from 'path'; @@ -8,6 +9,26 @@ import { tmpdir } from 'os'; // Remove uuid import as we'll use a simple random string generator instead // import { v4 as uuidv4 } from 'uuid'; +// Setup sharp with fallback +let sharp: any; +try { + sharp = require('sharp'); +} catch (e) { + console.error('Warning: sharp module not available, using fallback image processing'); + // Mock implementation that just passes through the base64 data + sharp = (buffer: Buffer) => ({ + metadata: async () => ({ width: 800, height: 600 }), + resize: () => ({ + jpeg: () => ({ + toBuffer: async () => buffer + }) + }), + jpeg: () => ({ + toBuffer: async () => buffer + }) + }); +} + // Default model for image analysis const DEFAULT_FREE_MODEL = 'qwen/qwen2.5-vl-32b-instruct:free'; @@ -149,13 +170,25 @@ async function fetchImageAsBuffer(url: string): Promise { */ async function processImage(buffer: Buffer, mimeType: string): Promise { try { + if (typeof sharp !== 'function') { + console.warn('Using fallback image processing (sharp not available)'); + return processImageFallback(buffer, mimeType); + } + // Create a temporary directory for processing if needed const tempDir = path.join(tmpdir(), `openrouter-mcp-${generateRandomId()}`); await fs.mkdir(tempDir, { recursive: true }); // Get image info let sharpInstance = sharp(buffer); - const metadata = await sharpInstance.metadata(); + let metadata; + + try { + metadata = await sharpInstance.metadata(); + } catch (error) { + console.warn('Error getting image metadata, using fallback:', error); + return processImageFallback(buffer, mimeType); + } // Skip processing for small images if (metadata.width && metadata.height && @@ -177,19 +210,20 @@ async function processImage(buffer: Buffer, mimeType: string): Promise { } } - // Convert to JPEG for consistency and small size - const processedBuffer = await sharpInstance - .jpeg({ quality: JPEG_QUALITY }) - .toBuffer(); - - return processedBuffer.toString('base64'); + try { + // Convert to JPEG for consistency and small size + const processedBuffer = await sharpInstance + .jpeg({ quality: JPEG_QUALITY }) + .toBuffer(); + + return processedBuffer.toString('base64'); + } catch (error) { + console.warn('Error in final image processing, using fallback:', error); + return processImageFallback(buffer, mimeType); + } } catch (error) { - console.error('Error processing image:', error); - - // If sharp processing fails, return the original buffer - // This is a fallback to ensure we don't completely fail on processing errors - console.error('Returning original image without processing'); - return buffer.toString('base64'); + console.error('Error processing image, using fallback:', error); + return processImageFallback(buffer, mimeType); } } @@ -265,7 +299,7 @@ export async function findSuitableFreeModel(openai: OpenAI): Promise { } /** - * Process and analyze multiple images using OpenRouter + * Main handler for multi-image analysis */ export async function handleMultiImageAnalysis( request: { params: { arguments: MultiImageAnalysisToolRequest } }, @@ -276,65 +310,50 @@ export async function handleMultiImageAnalysis( try { // Validate inputs - if (!args.images || args.images.length === 0) { + if (!args.images || !Array.isArray(args.images) || args.images.length === 0) { throw new McpError(ErrorCode.InvalidParams, 'At least one image is required'); } if (!args.prompt) { - throw new McpError(ErrorCode.InvalidParams, 'A prompt is required'); + throw new McpError(ErrorCode.InvalidParams, 'A prompt for analyzing the images is required'); } - // Prepare content array for the message - const content: Array = [{ - type: 'text', - text: args.prompt - }]; + console.error(`Processing ${args.images.length} images`); - // Track successful and failed images for reporting - const successfulImages = []; - const failedImages = []; - - // Process each image - for (const [index, image] of args.images.entries()) { - try { - console.error(`Processing image ${index + 1}/${args.images.length}: ${image.url.substring(0, 50)}...`); - - // Get MIME type - const mimeType = getMimeType(image.url); - - // Fetch and process the image - const imageBuffer = await fetchImageAsBuffer(image.url); - const base64Image = await processImage(imageBuffer, mimeType); - - // Use JPEG as the output format for consistency - const outputMimeType = 'image/jpeg'; - - // Add to content - content.push({ - type: 'image_url', - image_url: { - url: `data:${outputMimeType};base64,${base64Image}` + // Process each image and convert to base64 if needed + const processedImages = await Promise.all( + args.images.map(async (image, index) => { + try { + // Skip processing if already a data URL + if (image.url.startsWith('data:')) { + console.error(`Image ${index + 1} is already in base64 format`); + return image; } - }); - - successfulImages.push(image.url); - } catch (error) { - console.error(`Error processing image ${index + 1} (${image.url.substring(0, 30)}...):`, error); - failedImages.push({url: image.url, error: error instanceof Error ? error.message : String(error)}); - // Continue with other images if one fails - } - } - - // If no images were successfully processed - if (content.length === 1) { - const errorDetails = failedImages.map(img => `${img.url.substring(0, 30)}...: ${img.error}`).join('; '); - throw new Error(`Failed to process any of the provided images. Errors: ${errorDetails}`); - } + + console.error(`Processing image ${index + 1}: ${image.url.substring(0, 100)}${image.url.length > 100 ? '...' : ''}`); + + // Get MIME type + const mimeType = getMimeType(image.url); + + // Fetch and process the image + const buffer = await fetchImageAsBuffer(image.url); + const base64 = await processImage(buffer, mimeType); + + return { + url: `data:${mimeType === 'application/octet-stream' ? 'image/jpeg' : mimeType};base64,${base64}`, + alt: image.alt + }; + } catch (error: any) { + console.error(`Error processing image ${index + 1}:`, error); + throw new Error(`Failed to process image ${index + 1}: ${image.url}. Error: ${error.message}`); + } + }) + ); // Select model with priority: // 1. User-specified model // 2. Default model from environment - // 3. Default free vision model (qwen/qwen2.5-vl-32b-instruct:free) + // 3. Default free vision model let model = args.model || defaultModel || DEFAULT_FREE_MODEL; // If a model is specified but not our default free model, verify it exists @@ -348,7 +367,30 @@ export async function handleMultiImageAnalysis( } console.error(`Making API call with model: ${model}`); - console.error(`Successfully processed ${successfulImages.length} images, ${failedImages.length} failed`); + + // Build content array for the API call + const content: Array<{ + type: string; + text?: string; + image_url?: { + url: string + } + }> = [ + { + type: 'text', + text: args.prompt + } + ]; + + // Add each processed image to the content array + processedImages.forEach(image => { + content.push({ + type: 'image_url', + image_url: { + url: image.url + } + }); + }); // Make the API call const completion = await openai.chat.completions.create({ @@ -359,16 +401,19 @@ export async function handleMultiImageAnalysis( }] as any }); - // Format the response + // Get response text and format if requested let responseText = completion.choices[0].message.content || ''; - // Add information about failed images if any - if (failedImages.length > 0) { - const formattedErrors = args.markdown_response !== false - ? `\n\n---\n\n**Note:** ${failedImages.length} image(s) could not be processed:\n${failedImages.map((img, i) => `- Image ${i+1}: ${img.error}`).join('\n')}` - : `\n\nNote: ${failedImages.length} image(s) could not be processed: ${failedImages.map((img, i) => `Image ${i+1}: ${img.error}`).join('; ')}`; - - responseText += formattedErrors; + // Format as markdown if requested + if (args.markdown_response) { + // Simple formatting enhancements + responseText = responseText + // Add horizontal rule after sections + .replace(/^(#{1,3}.*)/gm, '$1\n\n---') + // Ensure proper spacing for lists + .replace(/^(\s*[-*•]\s.+)$/gm, '\n$1') + // Convert plain URLs to markdown links + .replace(/(https?:\/\/[^\s]+)/g, '[$1]($1)'); } // Return the analysis result @@ -381,12 +426,10 @@ export async function handleMultiImageAnalysis( ], metadata: { model: completion.model, - usage: completion.usage, - successful_images: successfulImages.length, - failed_images: failedImages.length + usage: completion.usage } }; - } catch (error) { + } catch (error: any) { console.error('Error in multi-image analysis:', error); if (error instanceof McpError) { @@ -397,14 +440,27 @@ export async function handleMultiImageAnalysis( content: [ { type: 'text', - text: `Error analyzing images: ${error instanceof Error ? error.message : String(error)}`, + text: `Error analyzing images: ${error.message}`, }, ], isError: true, metadata: { - error_type: error instanceof Error ? error.constructor.name : 'Unknown', - error_message: error instanceof Error ? error.message : String(error) + error_type: error.constructor.name, + error_message: error.message } }; } } + +/** + * Processes an image with minimal processing when sharp isn't available + */ +async function processImageFallback(buffer: Buffer, mimeType: string): Promise { + try { + // Just return the buffer as base64 without processing + return buffer.toString('base64'); + } catch (error) { + console.error('Error in fallback image processing:', error); + throw error; + } +} diff --git a/start-server.js b/start-server.js new file mode 100644 index 0000000..2158210 --- /dev/null +++ b/start-server.js @@ -0,0 +1,65 @@ +// Load environment variables and start the MCP server +import { promises as fs } from 'fs'; +import path from 'path'; +import { fileURLToPath } from 'url'; +import { dirname } from 'path'; +import { spawn } from 'child_process'; + +// Get current directory +const __filename = fileURLToPath(import.meta.url); +const __dirname = dirname(__filename); + +// Path to .env file +const envPath = path.join(__dirname, '.env'); + +async function loadEnvAndStartServer() { + try { + console.log('Loading environment variables from .env file...'); + + // Read .env file + const envContent = await fs.readFile(envPath, 'utf8'); + + // Parse .env file and set environment variables + const envVars = {}; + envContent.split('\n').forEach(line => { + const match = line.match(/^\s*([\w.-]+)\s*=\s*(.*)?\s*$/); + if (match) { + const key = match[1]; + let value = match[2] || ''; + + // Remove quotes if they exist + if (value.length > 0 && value.charAt(0) === '"' && value.charAt(value.length - 1) === '"') { + value = value.replace(/^"|"$/g, ''); + } + + envVars[key] = value; + process.env[key] = value; + } + }); + + console.log('Environment variables loaded successfully'); + console.log(`API Key found: ${process.env.OPENROUTER_API_KEY ? 'Yes' : 'No'}`); + + // Start the server process with environment variables + console.log('Starting MCP server...'); + const serverProcess = spawn('node', ['dist/index.js'], { + env: { ...process.env, ...envVars }, + stdio: 'inherit' + }); + + // Handle server process events + serverProcess.on('close', (code) => { + console.log(`MCP server exited with code ${code}`); + }); + + serverProcess.on('error', (err) => { + console.error('Failed to start MCP server:', err); + }); + + } catch (error) { + console.error('Error:', error); + } +} + +// Run the function +loadEnvAndStartServer(); \ No newline at end of file diff --git a/test-openai-sdk.js b/test-openai-sdk.js new file mode 100644 index 0000000..649849b --- /dev/null +++ b/test-openai-sdk.js @@ -0,0 +1,155 @@ +import 'dotenv/config'; +import { promises as fs } from 'fs'; +import path from 'path'; +import { fileURLToPath } from 'url'; +import { dirname } from 'path'; +import { OpenAI } from 'openai'; + +// Get the directory name for ES modules +const __filename = fileURLToPath(import.meta.url); +const __dirname = dirname(__filename); + +// Constants +const TEST_IMAGE_PATH = 'test.png'; // Adjust to your image path + +/** + * Convert an image file to base64 + */ +async function imageToBase64(filePath) { + try { + // Read the file + const imageBuffer = await fs.readFile(filePath); + + // Determine MIME type based on file extension + const fileExt = path.extname(filePath).toLowerCase(); + let mimeType = 'application/octet-stream'; + + switch (fileExt) { + case '.png': + mimeType = 'image/png'; + break; + case '.jpg': + case '.jpeg': + mimeType = 'image/jpeg'; + break; + case '.webp': + mimeType = 'image/webp'; + break; + default: + console.log(`Using default MIME type for extension: ${fileExt}`); + } + + // Convert to base64 and add the data URI prefix + const base64 = imageBuffer.toString('base64'); + return `data:${mimeType};base64,${base64}`; + } catch (error) { + console.error('Error converting image to base64:', error); + throw error; + } +} + +/** + * Send an image to OpenRouter using OpenAI SDK + */ +async function analyzeImageWithOpenRouter(base64Image, question = "What's in this image?") { + try { + console.log('Initializing OpenAI client with OpenRouter...'); + + // Initialize the OpenAI client with OpenRouter base URL + const openai = new OpenAI({ + apiKey: process.env.OPENROUTER_API_KEY, + baseURL: 'https://openrouter.ai/api/v1', + defaultHeaders: { + 'HTTP-Referer': 'https://github.com/stabgan/openrouter-mcp-multimodal', + 'X-Title': 'OpenRouter MCP Test' + } + }); + + console.log('Sending image for analysis to Qwen free model...'); + // Create the message with text and image + const completion = await openai.chat.completions.create({ + model: 'qwen/qwen2.5-vl-32b-instruct:free', // Using Qwen free model with vision capabilities + messages: [ + { + role: 'user', + content: [ + { + type: 'text', + text: question + }, + { + type: 'image_url', + image_url: { + url: base64Image + } + } + ] + } + ] + }); + + // Debug the completion response structure + console.log('\n----- Debug: API Response -----'); + console.log(JSON.stringify(completion, null, 2)); + console.log('----- End Debug -----\n'); + + // Check if completion has expected structure before accessing properties + if (completion && completion.choices && completion.choices.length > 0 && completion.choices[0].message) { + console.log('\n----- Analysis Results -----\n'); + console.log(completion.choices[0].message.content); + console.log('\n----------------------------\n'); + + // Print additional information about the model used and token usage + console.log('Model used:', completion.model); + if (completion.usage) { + console.log('Token usage:'); + console.log('- Prompt tokens:', completion.usage.prompt_tokens); + console.log('- Completion tokens:', completion.usage.completion_tokens); + console.log('- Total tokens:', completion.usage.total_tokens); + } + } else { + console.log('Unexpected response structure from OpenRouter API.'); + } + + return completion; + } catch (error) { + console.error('Error analyzing image with OpenRouter:'); + if (error.response) { + console.error('API error status:', error.status); + console.error('API error details:', JSON.stringify(error.response, null, 2)); + } else if (error.cause) { + console.error('Error cause:', error.cause); + } else { + console.error(error); + } + throw error; + } +} + +/** + * Main function + */ +async function main() { + try { + if (!process.env.OPENROUTER_API_KEY) { + throw new Error('OPENROUTER_API_KEY not found in environment variables. Create a .env file with your API key.'); + } + + console.log(`Converting image at ${TEST_IMAGE_PATH} to base64...`); + const base64Image = await imageToBase64(TEST_IMAGE_PATH); + console.log('Image converted successfully!'); + + // Log the first 100 chars of the base64 string to verify format + console.log('Base64 string preview:', base64Image.substring(0, 100) + '...'); + + // Analyze the image + await analyzeImageWithOpenRouter(base64Image, "Please describe this image in detail. What do you see?"); + + } catch (error) { + console.error('Error in main function:', error); + process.exit(1); + } +} + +// Run the script +main(); \ No newline at end of file diff --git a/test.html b/test.html new file mode 100644 index 0000000..85fbdd2 --- /dev/null +++ b/test.html @@ -0,0 +1 @@ + diff --git a/test.png b/test.png new file mode 100644 index 0000000..8782ab3 Binary files /dev/null and b/test.png differ diff --git a/test_base64.txt b/test_base64.txt new file mode 100644 index 0000000..281bb74 --- /dev/null +++ b/test_base64.txt @@ -0,0 +1 @@ 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 diff --git a/test_mcp_server.js b/test_mcp_server.js new file mode 100644 index 0000000..1144dcd --- /dev/null +++ b/test_mcp_server.js @@ -0,0 +1,94 @@ +// Test MCP server with image analysis +import { promises as fs } from 'fs'; +import path from 'path'; + +// Path to test image +const IMAGE_PATH = process.argv[2] || 'test.png'; + +// Function to convert image to base64 +async function imageToBase64(imagePath) { + try { + // Read the file + const imageBuffer = await fs.readFile(imagePath); + + // Determine MIME type based on file extension + const fileExt = path.extname(imagePath).toLowerCase(); + let mimeType = 'application/octet-stream'; + + switch (fileExt) { + case '.png': + mimeType = 'image/png'; + break; + case '.jpg': + case '.jpeg': + mimeType = 'image/jpeg'; + break; + case '.webp': + mimeType = 'image/webp'; + break; + default: + mimeType = 'image/png'; // Default to PNG + } + + // Convert to base64 and add the data URI prefix + const base64 = imageBuffer.toString('base64'); + return `data:${mimeType};base64,${base64}`; + } catch (error) { + console.error('Error converting image to base64:', error); + throw error; + } +} + +// Main function to test the MCP server +async function main() { + try { + console.log(`Converting image: ${IMAGE_PATH}`); + + // Check if the image file exists + try { + await fs.access(IMAGE_PATH); + console.log(`Image file exists: ${IMAGE_PATH}`); + } catch (err) { + console.error(`Error: Image file does not exist: ${IMAGE_PATH}`); + return; + } + + // Convert the image to base64 + const base64Image = await imageToBase64(IMAGE_PATH); + console.log('Image converted to base64 successfully.'); + console.log(`Base64 length: ${base64Image.length} characters`); + + // Create the request for analyze_image + const analyzeImageRequest = { + jsonrpc: '2.0', + id: '1', + method: 'mcp/call_tool', + params: { + tool: 'mcp_openrouter_analyze_image', + arguments: { + image_path: base64Image, + question: "What's in this image?", + model: 'qwen/qwen2.5-vl-32b-instruct:free' + } + } + }; + + // Send the request to the MCP server's stdin + console.log('Sending request to MCP server...'); + process.stdout.write(JSON.stringify(analyzeImageRequest) + '\n'); + + // The MCP server will write the response to stdout, which we can read + console.log('Waiting for response...'); + + // In a real application, you would read from the server's stdout stream + // Here we just wait for input to be processed by the MCP server + console.log('Request sent to MCP server. Check the server logs for the response.'); + } catch (error) { + console.error('Error in main function:', error); + } +} + +// Run the main function +main().catch(error => { + console.error("Unhandled error in main:", error); +}); \ No newline at end of file