314 lines
6.6 KiB
Markdown
314 lines
6.6 KiB
Markdown
# OpenRouter MCP Multimodal Server
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An MCP (Model Context Protocol) server that provides chat and image analysis capabilities through OpenRouter.ai's diverse model ecosystem. This server combines text chat functionality with powerful image analysis capabilities.
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## Features
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- **Text Chat:**
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- Direct access to all OpenRouter.ai chat models
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- Support for simple text and multimodal conversations
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- Configurable temperature and other parameters
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- **Image Analysis:**
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- Analyze single images with custom questions
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- Process multiple images simultaneously
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- Automatic image resizing and optimization
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- Support for various image sources (local files, URLs, data URLs)
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- **Model Selection:**
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- Search and filter available models
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- Validate model IDs
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- Get detailed model information
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- Support for default model configuration
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- **Performance Optimization:**
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- Smart model information caching
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- Exponential backoff for retries
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- Automatic rate limit handling
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## Quick Start Configuration
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### Prerequisites
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1. Get your OpenRouter API key from [OpenRouter Keys](https://openrouter.ai/keys)
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2. Choose a default model (optional)
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### MCP Configuration Options
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Add one of the following configurations to your MCP settings file (e.g., `cline_mcp_settings.json` or `claude_desktop_config.json`):
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#### Option 1: Using npx (Node.js)
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```json
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{
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"mcpServers": {
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"openrouter": {
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"command": "npx",
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"args": [
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"-y",
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"@stabgan/openrouter-mcp-multimodal"
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],
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"env": {
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"OPENROUTER_API_KEY": "your-api-key-here",
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"OPENROUTER_DEFAULT_MODEL": "anthropic/claude-3.5-sonnet"
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}
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}
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}
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}
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```
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#### Option 2: Using uv (Python Package Manager)
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```json
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{
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"mcpServers": {
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"openrouter": {
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"command": "uv",
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"args": [
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"run",
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"-m",
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"openrouter_mcp_multimodal"
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],
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"env": {
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"OPENROUTER_API_KEY": "your-api-key-here",
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"OPENROUTER_DEFAULT_MODEL": "anthropic/claude-3.5-sonnet"
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}
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}
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}
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}
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```
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#### Option 3: Using Docker
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```json
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{
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"mcpServers": {
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"openrouter": {
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"command": "docker",
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"args": [
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"run",
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"--rm",
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"-i",
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"-e", "OPENROUTER_API_KEY=your-api-key-here",
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"-e", "OPENROUTER_DEFAULT_MODEL=anthropic/claude-3.5-sonnet",
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"stabgan/openrouter-mcp-multimodal:latest"
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]
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}
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}
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}
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```
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#### Option 4: Using Smithery (recommended)
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```json
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{
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"mcpServers": {
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"openrouter": {
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"command": "smithery",
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"args": [
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"run",
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"stabgan/openrouter-mcp-multimodal"
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],
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"env": {
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"OPENROUTER_API_KEY": "your-api-key-here",
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"OPENROUTER_DEFAULT_MODEL": "anthropic/claude-3.5-sonnet"
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}
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}
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}
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}
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```
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## Available Tools
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### chat_completion
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Send text or multimodal messages to OpenRouter models:
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```javascript
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use_mcp_tool({
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server_name: "openrouter",
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tool_name: "chat_completion",
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arguments: {
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model: "google/gemini-2.5-pro-exp-03-25:free", // Optional if default is set
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messages: [
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{
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role: "system",
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content: "You are a helpful assistant."
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},
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{
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role: "user",
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content: "What is the capital of France?"
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}
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],
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temperature: 0.7 // Optional, defaults to 1.0
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}
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});
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```
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For multimodal messages with images:
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```javascript
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use_mcp_tool({
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server_name: "openrouter",
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tool_name: "chat_completion",
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arguments: {
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model: "anthropic/claude-3.5-sonnet",
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messages: [
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{
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role: "user",
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content: [
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{
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type: "text",
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text: "What's in this image?"
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},
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{
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type: "image_url",
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image_url: {
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url: "https://example.com/image.jpg"
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}
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}
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]
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}
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]
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}
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});
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```
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### analyze_image
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Analyze a single image with an optional question:
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```javascript
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use_mcp_tool({
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server_name: "openrouter",
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tool_name: "analyze_image",
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arguments: {
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image_path: "/absolute/path/to/image.jpg",
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question: "What objects are in this image?", // Optional
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model: "anthropic/claude-3.5-sonnet" // Optional if default is set
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}
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});
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```
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### multi_image_analysis
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Analyze multiple images with a single prompt:
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```javascript
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use_mcp_tool({
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server_name: "openrouter",
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tool_name: "multi_image_analysis",
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arguments: {
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images: [
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{ url: "https://example.com/image1.jpg" },
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{ url: "file:///absolute/path/to/image2.jpg" },
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{
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url: "https://example.com/image3.jpg",
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alt: "Optional description of image 3"
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}
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],
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prompt: "Compare these images and tell me their similarities and differences",
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markdown_response: true, // Optional, defaults to true
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model: "anthropic/claude-3-opus" // Optional if default is set
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}
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});
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```
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### search_models
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Search and filter available models:
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```javascript
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use_mcp_tool({
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server_name: "openrouter",
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tool_name: "search_models",
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arguments: {
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query: "claude", // Optional text search
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provider: "anthropic", // Optional provider filter
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capabilities: {
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vision: true // Filter for models with vision capabilities
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},
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limit: 5 // Optional, defaults to 10
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}
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});
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```
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### get_model_info
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Get detailed information about a specific model:
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```javascript
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use_mcp_tool({
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server_name: "openrouter",
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tool_name: "get_model_info",
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arguments: {
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model: "anthropic/claude-3.5-sonnet"
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}
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});
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```
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### validate_model
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Check if a model ID is valid:
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```javascript
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use_mcp_tool({
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server_name: "openrouter",
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tool_name: "validate_model",
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arguments: {
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model: "google/gemini-2.5-pro-exp-03-25:free"
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}
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});
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```
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## Error Handling
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The server provides detailed error messages for various failure cases:
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- Invalid input parameters
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- Network errors
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- Rate limiting issues
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- Invalid image formats
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- Authentication problems
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## Troubleshooting
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### Common Issues
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- **"fetch is not defined" error**: This often occurs when the Node.js environment doesn't have global fetch. Use Node.js v18+ or add the PATH environment variable to your configuration as shown below:
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```json
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{
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"mcpServers": {
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"openrouter": {
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"command": "npx",
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"args": [
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"-y",
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"@stabgan/openrouter-mcp-multimodal"
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],
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"env": {
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"OPENROUTER_API_KEY": "your-api-key-here",
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"PATH": "/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin"
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}
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}
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}
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}
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```
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- **Image analysis failures**: Make sure your image path is absolute and the file format is supported.
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## Development
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To build from source:
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```bash
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git clone https://github.com/stabgan/openrouter-mcp-multimodal.git
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cd openrouter-mcp-multimodal
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npm install
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npm run build
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```
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## License
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MIT License
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