# AI collaboration

Second Opinion MCP is a multi - AI model consulting platform that allows users to instantly obtain second opinions from different AI models such as OpenAI, Gemini, Grok, Claude, HuggingFace, DeepSeek, and OpenRouter in Claude conversations, supporting functions such as code comparison, creative writing, problem - solving, and cross - model 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.

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

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

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.

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.

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.

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.

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.

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.

The AI Cognitive Nexus is a professional AI team collaboration and orchestration system that supports the dynamic creation and management of multi - agent teams to solve complex tasks through hierarchical collaboration.

A lightweight, self-hosted project management tool with a built-in MCP server, allowing AI assistants to directly manage projects, tickets, and teams.

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.

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

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.

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.

Huuh MCP Server is a collaborative AI service that connects AI applications with the huuh.me platform, providing functions such as knowledge base management, team collaboration, and AI role switching, and supporting content retrieval, contribution, and sharing.

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.

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.

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.

An MCP server that opens a review window after the AI assistant generates drafts (such as PR descriptions, work orders, messages). Users can preview, edit, and approve or reject the content to ensure its quality.

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 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.

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.

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

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.

The Webvizio MCP Server is a TypeScript - based model context protocol server that provides secure and structured access to the Webvizio API. It can automatically convert website feedback and error reports into executable development tasks for AI coding agents to process.

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.