# AI Collaboration

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 Task Manager is an AI task management tool that supports multi-step task planning, progress tracking, and user approval, suitable for structured AI task processing.

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.

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

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

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.

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.

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 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.

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.

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.

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

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.

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.

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

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.

A service system that uses humans as MCP tools

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.

Orchestro is an AI development coordination platform that connects product managers, developers, and AI, transforming product ideas into production code. It coordinates the entire development process through task decomposition, dependency tracking, pattern learning, and real-time progress visualization, providing functions such as project management, task execution, knowledge base, and real-time dashboard.

An MCP server that converts Cursor agent plans into structured Markdown task lists and organizes them in the code repository

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.

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.

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 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.