# AI collaboration

Practices MCP Server is a protocol server designed specifically for AI assistants, which helps development teams achieve standardized development practice management, including Git branch management, version control, PR preparation, and tool integration.

The Divide and Conquer MCP Server is a task management server based on a JSON structure, designed for AI agents to decompose complex tasks, track progress, and maintain context.

codemcp is a tool that transforms Claude Desktop into a pair - programming assistant, allowing users to directly let Claude implement features, fix errors, and refactor code in the local codebase while ensuring security through Git version control.

The Revit MCP server is a TypeScript - based bridge service that enables real - time model data interaction between Claude AI and Autodesk Revit

Lark MCP Server is a server that implements the Model Context Protocol (MCP) standard, providing a bridge between AI models and the Lark/FlyBook collaboration platform, supporting message sending and calendar management functions.

This project is a server that implements the MCP protocol, providing AI assistants with the ability to interact with Azure DevOps services and enabling functions such as natural language operations on work items, project management, and team collaboration.

The Feishu MCP server provides Feishu document access capabilities for AI coding tools, supporting document creation, content operation, and editing functions.

GooseTeam is an AI agent collaboration platform that enables task allocation and message management among agents through the MCP protocol. It supports both natural language and flowchart protocol expressions and provides an extended toolset.

This project is a local MCP server that provides all page content of the Mike Creighton consulting website as resources for business cooperation such as marketing strategies and content creation in collaboration with Claude.

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 Python - based MCP server project that can collaborate with AI assistants such as Claude to generate local music playlists in .m3u format based on the user's mood or theme and save them to the specified directory.

An MCP service that connects AI assistants and Redmine, enabling structured project management and automated document tracking

Create an MCP server based on the @j4ys0n/avantage library to encapsulate the Alpha Vantage API functions as LLM tools

A cognitive architecture project that combines DeepSeek R1 and Claude. It performs advanced reasoning and planning through R1 and Claude executes specific analysis to achieve multi-step logical reasoning and structured thinking processing.

The MCP code checking server provides code quality detection functions, including pylint and pytest checks, and supports integration with AI assistants for code quality analysis.

An MCP server that integrates Atlassian Bitbucket with AI systems, providing API functions such as code repository access and PR operations

Whistle MCP Server is a Whistle proxy management tool based on the MCP protocol, which allows an AI assistant to directly control the local Whistle proxy server and achieve automated management of rules and requests.

An MCP server that supports collaborative debates among multiple AI agents to achieve consensus - based decision - making

This project implements the Model Context Protocol (MCP) as a practical solution for the Personal Intelligence Framework (PIF). It builds a meaningful space for the development of understanding between humans and AI through structured tools and a progressive interaction mode.

A file system service based on the MCP protocol that provides a secure API for file operations in the project directory and supports AI assistants for code reading, writing, editing, and management.

The Grasshopper MCP Bridge is a bridge server that connects Grasshopper and Claude Desktop, enabling natural language control of modeling through the MCP protocol.

AgentMCP is a universal AI agent collaboration system. Through a simple decorator, any AI agent can be connected to the global collaboration network (MACNet) to achieve automatic communication and task coordination across frameworks and protocols.

The gotoHuman MCP Server is a service that allows AI agents to request human review through MCP, supporting asynchronous workflows and automated approvals.

Layer Prompt Manager is a tool for saving, versioning, and managing custom AI prompts in code repositories, which can be seamlessly integrated with AI-driven IDEs.

The Hume MCP Server is an AI collaboration tool that allows users to use Octave text-to-speech technology through MCP client applications (such as Claude Desktop, Cursor, etc.) to achieve intelligent speech synthesis and interaction.

Miro MCP Server is a service that implements the Model Context Protocol (MCP). By integrating with the Miro REST API, it enables AI systems to directly collaborate with users on the Miro whiteboard and operate whiteboard components.

An Outline API server tool based on the Model Context Protocol (MCP), supporting AI agents to programmatically manage entities such as documents and collections in the Outline knowledge base platform.

This project is a server based on the MCP protocol, providing AI assistants with the ability to interact with Azure DevOps services, enabling natural - language operations on work items, project management, and other functions.

An MCP server integrated with GitLab, providing functions to obtain failed pipeline logs, merge request comments, and code changes to enhance the development support capabilities of AI assistants.

GitLab-MCP-Server is a model context protocol server integrated with GitLab, providing functions to retrieve pipeline failure information, merge request comments, and change content to assist AI assistants in code review and issue repair.