# 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.

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

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.

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.

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.

GitLab MR MCP is a service based on the Model Context Protocol (MCP), which provides the ability for AI agents to interact with GitLab repositories, including managing merge requests, viewing code differences, adding comments, and other functions.

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.

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

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

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.

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

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.

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.

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.

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.

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.

An advanced Obsidian MCP server that interacts with Obsidian through the Local REST API plugin, enabling AI agents to deeply understand and manage the knowledge base, including functions such as file operations, search, note management, and library analysis.

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.

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

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

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.

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

The Gemini CLI Orchestrator is a multi-step code analysis tool based on Google Gemini AI. It guides developers through a systematic analysis via a structured workflow rather than replacing human thinking. It offers four core functions: analysis planning, prompt optimization, iterative analysis, and result synthesis, and is suitable for complex scenarios such as security audits and performance optimization.

An MCP server implemented in Go language that encapsulates the OpenAI Codex CLI, enabling AI clients to call Codex for code generation, debugging, and repair.

ToolFront is an AI proxy database connection tool that securely connects coding assistants to team databases through the MCP protocol, enabling collaborative learning and sharing of query patterns.

An advanced Obsidian MCP server that interacts with Obsidian through the Local REST API plugin, enabling AI agents to deeply understand the knowledge base structure, links, and content, and providing functions such as file operations, search, note management, and knowledge base analysis.

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.

An MCP server that enables human-machine interaction via Discord, allowing AI assistants to ask humans for input or judgment when needed.

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.