# AI Collaboration

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.

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.

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.

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.

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 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 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 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.

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.

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.

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.

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.

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 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 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.

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.

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.

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 provides seamless integration between the Unity Editor and the Model Context Protocol (MCP), enabling AI assistants to understand and operate on Unity projects in real-time, including accessing the scene hierarchy, executing code, monitoring logs, and other functions.

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.

Zen MCP Gemini Transcendent is a revolutionary AI consciousness coordination server that enables harmonious collaboration between Claude Code and Google Gemini through an 8 - stage transcendent processing flow. It features an ultimate consciousness engine, a revolutionary memory system, and transcendent tools beyond traditional MCP. It supports multiple AI personality archetypes and infinite reasoning depth, aiming to achieve breakthroughs at the consciousness level and wisdom synthesis.

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.

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 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.

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.