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.

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.

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 Meta Prompt MCP project simulates a multi - agent collaboration system through a single language model, realizing task decomposition and expert consultation functions, and simplifying the process of solving complex problems.

ServeMyAPI is a secure API key management tool based on macOS Keychain, providing cross-project key storage and access services through the MCP protocol, which solves the security and collaboration problems of traditional.env files.

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.

Speelka Agent is a general LLM agent based on the Model Context Protocol (MCP), capable of invoking tools from other MCP servers to achieve complex task decomposition, multi - model collaboration, and tool orchestration.

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.

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.

The Excalidraw MCP Server is an integration tool that provides a drawing API for large language models, supporting the creation, modification, and management of Excalidraw charts, including element control, resource management, and team collaboration functions.

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.

J.A.R.V.I.S. is an intelligent code assistant based on multi - model support, providing functions such as code generation, modification, and technical discussions, and supporting multiple file formats and real - time collaboration.

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.

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.

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.

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.

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.

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.

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.

A multi - agent system laboratory project for educational purposes, simulating e - commerce and health consultation scenarios, demonstrating multi - agent collaboration, the use of the MCP protocol, and the integration of different LLM models.

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.

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.

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.

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.

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.

This project includes multiple MCP server and client implementations based on Python 3.11, involving simple applications of the Langgraph framework, multi-server collaboration, and the development of a ChatGPT clone project.

The Cross-system Proxy Communication MCP Server enables collaboration and task management among multi-role LLM agents

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

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.

Lark MCP Server is a server that implements the Model Context Protocol (MCP) standard, providing a bridge between AI models and the Lark/FlyBook collaboration platform, supporting message sending and calendar management functions.

MCP MindMesh is a server that manages multiple Claude 3.7 Sonnet instances, achieving multi - agent collaboration through quantum - inspired swarm intelligence and generating highly consistent responses.

Claude - Slack provides a Slack - like channel messaging infrastructure for AI agents, supporting multi - agent collaboration, project isolation, and knowledge persistence.

The Infisical Model Context Protocol (MCP) Server provides a set of tools for integrating with the Infisical API through function calls, supporting operations such as creating, deleting, updating, and querying keys. It is suitable for key management and project collaboration.

An MCP server that combines Claude Code and Google Gemini AI to achieve in - depth code analysis through multi - model collaboration. Claude is good at local context operations and CLI workflows, while Gemini uses its ultra - large context window for distributed system debugging and long - trace analysis.

The AutoGen MCP server is a multi - agent dialogue service integrating the Microsoft AutoGen framework, providing standardized interfaces for AI agent management and collaboration.

MCP (Model Context Protocol) is a standardized protocol that enables AI agents to seamlessly communicate with various tools and services. GitHub integration provides repository management, code operations, issue management, and collaboration features.