# AI Collaboration

The Git MCP Server is a server that provides enhanced Git operations through a standardized interface and integrates with the MCP ecosystem to provide Git functions for AI assistants.

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.

An Azure DevOps server that implements the Model Context Protocol (MCP), providing a standardized interface for AI assistants to securely access and manage Azure DevOps resources.

This project is a Jupyter Notebook MCP server designed for the Cursor editor, providing a set of tools that allow AI agents to directly operate on cells in .ipynb files, solving the limitation that Cursor cannot directly edit notebook content in agent mode.

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 project that provides a service for automatically selecting the OpenAI O3 or Google Gemini 2.5 Pro model based on the number of tokens, supports recursive embedding of file paths in prompts, and is suitable for code review and solving complex problems.

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.

Kanban MCP is a project that connects the Planka kanban board with the Cursor MCP protocol, enabling AI assistants to manage kanban tasks, including creating/moving cards, tracking time, adding comments, etc., to achieve human-machine collaborative workflow management.

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.

A TypeScript-based MCP server for automatically marking AI contributions in Git commits, distinguishing AI-generated commits by adding the '(aider)' suffix.

Distri is a Rust-based composable AI agent framework that supports building and combining intelligent agent capabilities through the MCP protocol, offering modular design and high efficiency.

This is a GitHub MCP Server project that supports interaction with LLM models such as Claude via the Model Context Protocol to implement the call and management functions of the GitHub API.

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.

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.

This project is an MCP server used to integrate Google's Gemini model with Claude Code to achieve collaboration between the two AI systems. It provides functions such as direct query, collaborative brainstorming, code analysis, text analysis, content summarization, and image prompt generation.

A multi - agent AI infrastructure based on the Model Context Protocol (MCP), providing a standardized communication layer, supporting vector databases, tool integration, and multi - agent collaboration, including core components such as an inspector dashboard, Qdrant vector database, and Docker network.

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.

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.

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.

The DeepSeek MCP server enhances Claude's reasoning ability by integrating the advanced inference engine of DeepSeek R1, enabling it to handle complex multi-step reasoning tasks.

Basic Memory is a tool for building persistent knowledge through natural conversations with large language models (LLMs). It stores data locally in Markdown files and implements the MCP protocol for two - way knowledge management.

Wowok is a platform focusing on AI collaboration and decentralized services, providing account management, local tagging, personal information storage, and various smart contract operation tools, supporting developers to build and expand decentralized applications.

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.

VSCode MCP is a solution for enabling interaction between AI assistants and VSCode through the Model Context Protocol

A server implementation for interacting with the Agenda app on macOS via Claude AI, providing functions such as creating notes, managing projects, and opening existing notes through x - callback - urls.

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

An MCP server integrated with the Microsoft Graph API, providing features such as Teams team collaboration, user management, and message search, and supporting AI assistants to interact with the Microsoft ecosystem through the protocol.

This project bridges the Yogosha vulnerability bounty platform through the MCP protocol, enabling automated vulnerability management, asset inventory, and report generation, and supporting direct operation of security resources by AI assistants.

This is an Unreal Engine plugin that implements the Model Context Protocol (MCP) server, allowing MCP clients (such as Claude) to access all functions of Unreal Engine through the Python API.