# Message processing

MCP-Server-TESS is a server project based on the MCP protocol, used to integrate with the TESS API, providing functions such as agent management, file operations, and message processing, supporting local deployment and installation on the Smithery.ai cloud platform.

Lark MCP is an AI assistant framework based on Feishu. It realizes function calls and message processing through reverse Feishu protocol, supports custom function registration and automatic matching calls. There's no need to configure a robot, and you can directly use your personal Feishu account as an AI assistant.

This project implements an MCP server for Mattermost, which integrates the Mattermost API and supports multiple transmission modes, including SSE and standard I/O, providing real-time message processing and team channel monitoring functions.

MCP Teams Server is a server that implements Microsoft Teams integration, providing functions such as reading messages, creating messages, replying to messages, and mentioning members.

A Slack server implementation based on the Model Context Protocol, providing a standard interface for Slack API functions, enabling AI models to interact with Slack through a standardized protocol.

A simple MCP echo server used to return the received text messages as they are.