# AI Collaboration

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

A server implementing the MCP protocol, supporting multiple AI agents to share and read responses to the same prompt.

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.

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

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 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 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.

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.

mcptix is an intelligent work order tracking system integrating AI assistants, realizing task management and intelligent planning through the MCP protocol.

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.

A multi-model AI code review and analysis server based on the Model Context Protocol. It supports the parallel execution of code quality checks, security analysis, and multi-agent consensus reviews by multiple AI models such as OpenAI, Anthropic, and Google Gemini.

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

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 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.

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.

The Obsidian MCP Server is a tool that connects AI assistants with the Obsidian knowledge base. It provides functions such as note reading and writing, intelligent search, and tag management, and supports interaction with Obsidian through the REST API.

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.

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.

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 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.

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.

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.

A GitHub self-review tool based on the Go language that helps developers automatically review their own pull requests through the Anthropic MCP server.

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.

A tool that connects Claude with GitHub repositories through the MCP protocol, supporting functions such as code analysis and deployment workflow generation

A Git server based on the Model Context Protocol that provides a standardized Git repository management interface for AI assistants and LLM agents

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.

A service system that uses humans as MCP tools