Add OpenAI Deep Research MCP server

- FastMCP server with deep_research and deep_research_info tools
- OpenAI Responses API integration with background polling
- Configurable model via DEEP_RESEARCH_MODEL env var
- Default: o4-mini-deep-research (faster/cheaper)
- Optional FastAPI backend for standalone use
- Tested successfully: 80s query, 20 web searches, 4 citations

backend/config.py

@@ -0,0 +1,29 @@
+"""Configuration for Deep Research MCP Server."""
+
+import os
+from dotenv import load_dotenv
+
+load_dotenv()
+
+# OpenAI API Key (required)
+OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
+
+# Hardcoded fallback model (cheaper/faster option)
+DEFAULT_MODEL = "o4-mini-deep-research-2025-06-26"
+
+# Available models for reference
+AVAILABLE_MODELS = [
+    "o4-mini-deep-research-2025-06-26",  # Faster, cheaper (DEFAULT)
+    "o3-deep-research-2025-06-26",        # Thorough, ~$1+ per query
+]
+
+# Deep Research Model - configurable via Docker env, falls back to hardcoded default
+DEEP_RESEARCH_MODEL = os.getenv("DEEP_RESEARCH_MODEL") or DEFAULT_MODEL
+
+# FastAPI service configuration
+FASTAPI_HOST = os.getenv("DEEP_RESEARCH_HOST", "0.0.0.0")
+FASTAPI_PORT = int(os.getenv("DEEP_RESEARCH_PORT", "8002"))
+
+# Polling configuration
+POLL_INTERVAL_SECONDS = float(os.getenv("DEEP_RESEARCH_POLL_INTERVAL", "5.0"))
+MAX_WAIT_MINUTES = int(os.getenv("DEEP_RESEARCH_MAX_WAIT", "15"))