Overview
what is Model Context Protocol (MCP) Server?
The MCP Server is a simple server implementation for the Model Context Protocol that provides a unified API for multiple AI model providers, allowing seamless interaction with various AI services.
how to use MCP Server?
To use the MCP Server, clone the repository, install dependencies, and run the setup script to configure your API keys. Start the server using npm commands, and access it via the provided API endpoints.
key features of MCP Server?
- Unified API for multiple AI providers (Anthropic, OpenAI)
- Support for chat completions and legacy completions
- Tool calling support and context/system message handling
- MongoDB database for persistence and state management
- Tool execution history and analytics
use cases of MCP Server?
- Integrating multiple AI models into a single application.
- Managing AI model interactions with a unified API.
- Utilizing web search and image generation tools in AI applications.
FAQ from MCP Server?
- What AI providers are supported?
The MCP Server supports Anthropic and OpenAI models.
- How do I set up MongoDB?
You can set up MongoDB using an automated script, Docker, or manually install it locally.
- Can I run the server in production?
Yes, the server can be run in production mode using PM2 for process management.