# 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 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 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 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.

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.

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.

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.

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.

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.

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

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.

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.

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.

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.

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 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.

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.

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

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

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 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.

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.

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.