A generic, modular server for implementing the Model Context Protocol (MCP).
Overview
What is MCP Server?
MCP Server is a generic, modular server designed for implementing the Model Context Protocol (MCP), providing a standardized API for controlling and interacting with various AI models.
How to use MCP Server?
To use MCP Server, clone the repository, install the dependencies using pnpm, configure your API keys in the .env file, and start the server. You can then interact with the server through its API endpoints.
Key features of MCP Server?
- Modular architecture for easy extension
- Dynamic module loading
- Core model management functionality
- Standardized API for model context
- Support for multiple AI model providers (OpenAI, Stability AI, Anthropic, Hugging Face)
- Comprehensive testing infrastructure
- Docker support for easy deployment
Use cases of MCP Server?
- Integrating various AI models into applications.
- Building custom modules to extend server functionality.
- Performing inference with different AI models through a unified API.
FAQ from MCP Server?
- What models does MCP Server support?
MCP Server supports models from OpenAI, Stability AI, Anthropic, and Hugging Face, including text generation, image generation, and speech-to-text models.
- Is MCP Server easy to extend?
Yes! The modular architecture allows developers to easily add new functionalities through custom modules.
- How can I test the server?
The repository includes comprehensive tests that can be run using pnpm test commands.