This MCP server implementation enables AI assistants to interact with multiple language model APIs through a unified interface. Built with Python using FastAPI, it supports both OpenAI and Anthropic models, allowing seamless switching between different AI providers. The server handles API authentication, request formatting, and streaming responses, while the accompanying client script provides a simple way to connect to the server. This implementation is particularly useful for developers who need to work with multiple AI models or want to create applications that can easily switch between different AI services without changing their core integration code.
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Highlight AIHandles sampling requests by accepting a prompt and returning generated content along with token usage statistics.
Handles shutdown requests to gracefully shut down the server.