# AI collaboration

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.

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 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.

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 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.

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

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.

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.

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.

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.

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

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.

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

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.

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.

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.

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.

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

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 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.

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.