Modern Control Protocol (MCP) Server
by eagurin
A modern, scalable MCP server implementation designed for managing AI interactions. It offers multi-provider support, conversation management, and robust monitoring capabilities.
Last updated: N/A
What is Modern Control Protocol (MCP) Server?
The MCP server is a modern implementation designed to manage interactions with various AI providers. It provides real-time streaming responses, conversation history, function calling capabilities, and integrates with vector databases and caching mechanisms.
How to use Modern Control Protocol (MCP) Server?
To use the MCP server, you typically need to clone the repository, configure the environment variables in the .env file, and then start the services using Docker Compose. API documentation is available at http://localhost:8000/docs and http://localhost:8000/redoc after the server is running.
Key features of Modern Control Protocol (MCP) Server
Multi-provider AI support
Real-time streaming responses
Conversation management
Function calling and tool usage
Vector database integration
Semantic caching
Prometheus metrics and Grafana dashboards
Use cases of Modern Control Protocol (MCP) Server
AI-powered chatbot
Automated customer support
Content generation
Data analysis and reporting
FAQ from Modern Control Protocol (MCP) Server
What AI providers are supported?
What AI providers are supported?
The server supports OpenAI, Anthropic, Google AI, and Azure.
How do I monitor the server?
How do I monitor the server?
Prometheus metrics are available at http://localhost:9090 and Grafana dashboards at http://localhost:3000.
What is the data persistence mechanism?
What is the data persistence mechanism?
PostgreSQL is used for data persistence.
What technologies are used?
What technologies are used?
The server is built using FastAPI, PostgreSQL, Redis, Elasticsearch, and Qdrant within a microservices architecture.
What is the Tech Stack?
What is the Tech Stack?
Includes FastAPI, PostgreSQL, Redis, Elasticsearch, and Qdrant storage