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.

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.

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.

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.

A service system that uses humans as MCP tools

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.

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.

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.

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.

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.

An HTTP server based on the MCP protocol, providing AGENTS.md knowledge management, structured task tracking, version history recording, and scratchpad functions, supporting multi - user collaboration and AI sub - agent calls.

Project Synapse is a revolutionary MCP server that transforms text into an interconnected knowledge network through semantic analysis and knowledge graph technology and autonomously generates insights. It combines Montague semantics and the Zettelkasten method to achieve the cognitive collaboration ability of AI.

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.

GooseTeam is an AI agent collaboration platform that enables task allocation and message management among agents through the MCP protocol. It supports both natural language and flowchart protocol expressions and provides an extended toolset.

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.

CrewAI Crew is a multi - agent AI system project based on the crewAI framework, aiming to complete complex tasks through configuration and 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.

The GoHighLevel MCP server is a fundamental project aiming to connect the GoHighLevel community with AI automation through the Model Context Protocol (MCP). It provides access to all sub - account level GoHighLevel API endpoints, supports 269 tools, covering multiple functional categories such as contact management, messaging, sales pipelines, and calendar appointments. The project emphasizes community collaboration, an open architecture, and educational resources, while also reminding users to pay attention to key issues such as AI security, rate limits, and data security.

Gaia-X is an enterprise-level AI application platform based on a new generation of AI paradigms. It solves the core pain points of enterprise AI products through an innovative technical architecture and provides core functions such as multi-agent collaboration, natural language RPA, and MCP protocol support.

Claude Team is a multi - agent MCP server that enables intelligent task distribution, preset workflow templates, and a custom expert system by configuring multiple AI models (such as GPT, Claude, Gemini) to work together, for automated collaboration on complex development tasks.

DeRisk is an AI-native risk intelligent management system that provides comprehensive and in-depth application system risk protection 24/7. It is based on a modular framework developed through open-source community collaboration and focuses on the ability derivation in the risk and data fields.

The MCP Prompts Server is a service system for managing and applying AI prompt templates, supporting multi-format conversion, variable replacement, and resource integration. It can work in collaboration with other MCP services.

MyBatis Mapper XML SQL extraction service based on the MCP protocol, providing SQL parsing, parameter simulation, and database testing functions. It is an expert tool that supports AI collaboration.

This is an MCP server that provides AI assistants with comprehensive access to Cisco Webex messaging functions. It includes 52 tools and supports enterprise-level functions such as message sending, space management, team collaboration, user management, and Webhook integration. It also supports Docker containerization and dual transport modes.

The MCP server of QA Sphere enables direct interaction between LLM and test cases

MindBridge is an AI model routing server that supports multiple LLM providers, enabling intelligent model scheduling and collaboration, suitable for complex reasoning tasks and multi - model workflows.

Inked is a writing assistance tool based on Claude AI, designed for long - form content creators, providing draft management, content generation, and multi - format output functions.

The MCP Human - Machine Collaboration Server is an intelligent middleware that dynamically determines when human intervention is needed in the AI decision - making process through a multi - dimensional scoring system

The Aider MCP Server is a bridge connecting AI assistants and the Aider file - editing tool. Through the standardized Model Context Protocol, it provides functions such as file editing, creation, and code extraction, and supports integration with multiple clients.

An AI agent collaboration server based on the MCP protocol that solves the coordination problems in multi - agent development, providing functions such as shared memory, task queues, resource locks, and agent discovery, and supporting seamless collaboration across IDEs and CLI tools.

aX Platform is an AI agent collaboration platform based on the MCP protocol. It provides 6 core tools such as real - time messaging, task management, and semantic search, supports automatic registration of multiple agents and zero - configuration collaboration, and enables seamless collaboration between humans and AI agents.

Agents Council is an AI agent collaboration tool based on the MCP protocol, which allows different AI agent sessions (such as Claude Code, Codex, Gemini, etc.) to communicate and collaborate across sessions without additional infrastructure. It realizes communication between agents through a central MCP server, supports session retention, human - participation monitoring, summoning of Claude agents, etc., to help developers solve complex tasks.

Academic Hub is a revolutionary research platform that provides AI - assisted paper creation, sharing, and collaboration functions for researchers, including paper construction, plagiarism detection, and academic community interaction.