RTIdeas MCP API Server

# RTIdeas MCP API Server Requirements # Model Context Protocol dependencies (for compatibility) mcp>=1.0.0 # FastAPI and web server dependencies fastapi>=0.104.0 uvicorn[standard]>=0.24.0 pydantic>=2.5.0 # MongoDB dependencies pymongo>=4.6.0 motor>=3.3.0 # Async MongoDB driver (optional, for future async support) # Environment and configuration python-dotenv>=1.0.0 # Data processing and analysis pandas>=2.0.0 numpy>=1.24.0 # Logging and utilities structlog>=23.0.0 # Development and testing (optional) pytest>=7.4.0 pytest-asyncio>=0.21.0 black>=23.0.0 flake8>=6.0.0 # Optional: For advanced clustering and ML features scikit-learn>=1.3.0 scipy>=1.11.0 # Optional: For vector similarity calculations faiss-cpu>=1.7.4 # CPU version of FAISS for vector similarity # Optional: For text processing and NLP nltk>=3.8.0 spacy>=3.7.0 # Optional: For API rate limiting and caching redis>=5.0.0 cachetools>=5.3.0 # Optional: For monitoring and metrics prometheus-client>=0.17.0 # Production server dependencies gunicorn>=21.2.0 # For production deployment