# 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.

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.

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 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.

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.

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

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.

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

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

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.

A service system that uses humans as MCP tools

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.

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

This project is a dedicated repository for testing the GitHub Model Context Protocol (MCP), mainly verifying the interaction functions between AI models and GitHub services, including repository management, issue tracking, and content operations such as the PR process.

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

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.

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 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.

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.

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.

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.

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.

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.

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.

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.

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.