MCP Agent Mail is a mail - based coordination layer designed for AI programming agents, providing identity management, message sending and receiving, file reservation, and search functions, supporting asynchronous collaboration and conflict avoidance among multiple agents.

PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.

Zen MCP is a multi-model AI collaborative development server that provides enhanced workflow tools and cross-model context management for AI coding assistants such as Claude and Gemini CLI. It supports seamless collaboration of multiple AI models to complete development tasks such as code review, debugging, and refactoring, and can maintain the continuation of conversation context between different workflows.

Coco AI is a unified search platform that integrates enterprise applications and data (such as Google Workspace, Dropbox, GitHub, etc.), providing cross-platform search and AI-driven team chat functions, aiming to improve work efficiency and collaboration experience.

The Notion MCP server is a protocol service that connects AI models to the Notion workspace through the official SDK, providing a comprehensive set of Notion operation tools.

This project builds a bridge between Claude Code and Google Gemini AI, enabling direct calls to Gemini in the Claude Code environment for Q&A, code review, and creative brainstorming, providing a convenient AI collaboration tool.

Open Data MCP is an open - source project aiming to quickly connect public data sets to LLM applications through the MCP protocol. The project provides a CLI tool to achieve a 2 - minute connection (currently supporting Claude) and establishes a community collaboration framework that allows developers to easily contribute and publish public data sets. The core goal is to build an infrastructure that connects all LLM applications with millions of public data sets.

AgentMCP is a general-purpose AI agent collaboration system that connects any AI agent to the global collaboration network through a simple decorator, enabling instant cross-framework and cross-protocol collaboration.

An MCP server implemented in TypeScript, used to mark AI contributions in Git commits and automatically add the '(aider)' identifier after the committer's name.

This project provides seamless integration between the Unity Editor and the Model Context Protocol (MCP), enabling AI assistants to understand and operate on Unity projects in real-time, including accessing the scene hierarchy, executing code, monitoring logs, and other functions.

The MCP Context Template is a repository for centrally managing AI tool contexts, aiming to reduce the cost of context sharing and improve development efficiency, providing a unified AI collaboration standard and document structure for teams.

The MCP Code Checker Server provides code quality checking functions, including Pylint and Pytest checks, and supports AI assistants to analyze code issues and generate repair suggestions.

DeepClaude MCP is a server application that integrates the capabilities of DeepSeek and Claude AI, providing more powerful AI response services through the collaboration of two models.

This project implements an MCP server as a bridge between AI assistants and the Outline document service, providing functions such as document search, management, creation, and editing.

Data Agents is a GenAI - based data engineering agent platform that automates data workflows through multi - agent collaboration, supports multiple AI backends and n8n integration, and provides a modern UI interface and Docker deployment solution.

Claudeus Plane MCP is a powerful bridge connecting Claude AI with the Plane project management platform, providing automated project management, intelligent task assignment, and team collaboration functions to improve project management efficiency through AI.

A service system that uses humans as MCP tools

This project is a server that implements the MCP protocol, providing AI assistants with the ability to interact with Azure DevOps services and enabling functions such as natural language operations on work items, project management, and team collaboration.

Claude IPC MCP is an inter-process communication protocol designed for CLI AI assistants, supporting natural language communication between AIs, with functions such as message persistence, security authentication, and automatic checking, to achieve cross-platform AI collaboration.

The AI Cognitive Nexus is a professional AI team collaboration and orchestration system that supports the dynamic creation and management of multi - agent teams to solve complex tasks through hierarchical collaboration.