microsoft/markitdown
MarkItDown is a Python tool that converts various file formats into Markdown and integrates with LLM applications via an MCP server for enhanced text analysis and document processing.
Awesome MCP › Other MCP Servers
pyroprompts/any-chat-completions-mcp
The project "any-chat-completions-mcp" is a TypeScript-based server implementation of the Model Context Protocol (MCP) designed to integrate any OpenAI SDK compatible chat completion API. It enables seamless multi-model chat interactions by acting as an MCP server that relays chat requests to various AI chat providers such as OpenAI, Perplexity, Groq, xAI, PyroPrompts, and others. The server exposes a single tool called "chat" which forwards questions to the configured AI chat provider, facilitating interoperability between different large language models (LLMs) through a unified protocol. This project is particularly useful for integrating multiple AI chat models into applications like Claude Desktop and LibreChat, allowing users to interact with different LLMs from a single interface. It supports configuration via environment variables to specify API keys, model names, and base URLs for different providers, enabling flexible and scalable multi-provider setups. The server can be run using Node.js or via npx, and it supports development features such as auto-rebuild with watch mode. The repository includes detailed instructions for installation, configuration, and usage, including examples for adding the server to Claude Desktop and LibreChat configurations. It also provides debugging support through the MCP Inspector tool, which helps monitor and troubleshoot MCP server communications over stdio. The project is sponsored by PyroPrompts and acknowledges the Model Context Protocol and Anthropic teams for their contributions to the MCP specification and integration. Overall, any-chat-completions-mcp serves as a versatile and extensible MCP server that bridges various OpenAI-compatible chat completion APIs, promoting interoperability and ease of use in multi-model chat environments.
https://github.com/pyroprompts/any-chat-completions-mcp
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