Google Chat MCP Server: Extensible to Teams & More, Supports Simultaneous Chat Connections
Multi-Chat MCP Server is an open-source Python framework that enables integration of AI assistants into team chat environments, with support for multiple chat platforms like Google Chat, Slack, and Microsoft Teams. The core purpose is to bridge the gap between isolated AI tools and collaborative team workflows by allowing the AI to participate in conversations, share updates, fetch historical context, and respond to developer prompts directly within team messaging spaces.
The project is built around the Model Control Protocol (MCP) concept, which facilitates structured communication between AI clients and external systems. In this case, it implements MCP to let AI assistants connect with messaging platforms.
Google Chat integration is complete and production-ready. Other providers like Slack and Teams are scaffolded but not fully implemented yet. The server runs locally and is intended for organizational use, especially in environments where data privacy, security compliance, and full control over communication flows are important.
This is particularly useful for organizations running on-premises LLMs or secure internal deployments, as the server does not rely on any third-party LLMs or cloud-hosted models by default. The architecture is modular, so additional chat platforms can be added by following the structure used for Google Chat.
The project does not offer any end-user UI or GUI. It is a backend integration tool meant to be used with AI IDE clients (like Cursor or Claude) that understand how to interact with an MCP server.