LOTUS-MCP is an open-source model coordination protocol that integrates the two major AI models, Mistral and Gemini, providing a unified interface, context sharing, and tool integration to achieve intelligent routing and cost optimization.

An MCP server based on the Mistral Codestral API, providing code completion, error fixing, and test generation functions

An OCR service based on Mistral AI, supporting text and image recognition of local files and URLs

This project builds a natural - language - based WhatsApp message sending and scheduling system through a client - server architecture. The server uses Mistral's LLM to parse user intentions and calls Twilio's API to send WhatsApp messages.

An implementation of the MCP server that supports OpenAI and Mistral, developed based on the Vercel AI SDK.

Unichat MCP Server is a multi-model chat protocol server implemented in TypeScript, which supports sending requests to AI providers such as OpenAI and MistralAI through the MCP protocol and provides preset prompt functions such as code review and document generation.

A full - stack intelligent hospital appointment management system based on React, Node.js, PostgreSQL, and Mistral LLM, providing two operation modes: manual and LLM intelligent assistant, supporting doctor and patient management and appointment functions.

Lizeur is a PDF content extraction server based on the MCP protocol. It uses Mistral AI's OCR technology to convert PDFs into readable Markdown text, supporting intelligent caching and rapid integration.

The Unichat MCP Server is a Python server that supports sending requests to multiple AI providers such as OpenAI and MistralAI via the MCP protocol, providing preset prompt functions such as code review and document generation.