A modern, scalable MCP server implementation with support for multiple AI providers, advanced monitoring, and robust conversation management.
Overview
what is Modern Control Protocol (MCP) Server?
The Modern Control Protocol (MCP) Server is a scalable server implementation designed to support multiple AI providers, offering advanced monitoring and robust conversation management capabilities.
how to use MCP Server?
To use the MCP Server, clone the repository, set up the environment variables, and start the services using Docker Compose. Access the API documentation and monitoring tools through the provided local URLs.
key features of MCP Server?
- Multi-provider AI support (OpenAI, Anthropic, Google AI, Azure)
- Real-time streaming responses
- Conversation management and history
- Function calling and tool usage
- Vector database integration
- Semantic caching
- Prometheus metrics and Grafana dashboards
- Rate limiting and error handling
- PostgreSQL for data persistence
- Redis for caching
- Elasticsearch for search
- Docker containerization
use cases of MCP Server?
- Managing conversations across different AI providers.
- Monitoring AI interactions with real-time metrics.
- Integrating various data storage solutions for enhanced performance.
FAQ from MCP Server?
- What AI providers are supported?
The MCP Server supports OpenAI, Anthropic, Google AI, and Azure.
- How can I monitor the server's performance?
You can monitor performance using Prometheus metrics and Grafana dashboards.
- Is there a license for using the MCP Server?
Yes, the MCP Server is licensed under the MIT License.