Zen MCP is a multi-model AI collaborative development server that provides enhanced workflow tools and cross-model context management for AI coding assistants such as Claude and Gemini CLI. It supports seamless collaboration of multiple AI models to complete development tasks such as code review, debugging, and refactoring, and can maintain the continuation of conversation context between different workflows.

A server - side implementation of the Linear issue tracking system based on the MCP protocol, providing functions to access Linear through a standardized interface

Speelka Agent is a general LLM agent based on the Model Context Protocol (MCP), capable of invoking tools from other MCP servers to achieve complex task decomposition, multi - model collaboration, and tool orchestration.

The GoHighLevel MCP server is a fundamental project aiming to connect the GoHighLevel community with AI automation through the Model Context Protocol (MCP). It provides access to all sub - account level GoHighLevel API endpoints, supports 269 tools, covering multiple functional categories such as contact management, messaging, sales pipelines, and calendar appointments. The project emphasizes community collaboration, an open architecture, and educational resources, while also reminding users to pay attention to key issues such as AI security, rate limits, and data security.

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 is an MCP server that provides AI assistants with comprehensive access to Cisco Webex messaging functions. It includes 52 tools and supports enterprise-level functions such as message sending, space management, team collaboration, user management, and Webhook integration. It also supports Docker containerization and dual transport modes.

This is an MCP server designed for ONLYOFFICE DocSpace, which allows AI tools to directly manage rooms, files, permissions, and collaboration workflows in DocSpace through natural language interaction.

aX Platform is an AI agent collaboration platform based on the MCP protocol. It provides 6 core tools such as real - time messaging, task management, and semantic search, supports automatic registration of multiple agents and zero - configuration collaboration, and enables seamless collaboration between humans and AI agents.

The Infisical Model Context Protocol (MCP) Server provides a set of tools for integrating with the Infisical API through function calls, supporting operations such as creating, deleting, updating, and querying keys. It is suitable for key management and project collaboration.

The FAF MCP server provides a standardized project context format for AIs like Claude, achieving persistent project context management through the IANA - registered FAF format and 50 tools, improving AI collaboration efficiency.

Zen MCP Gemini Transcendent is a revolutionary AI consciousness coordination server that enables harmonious collaboration between Claude Code and Google Gemini through an 8 - stage transcendent processing flow. It features an ultimate consciousness engine, a revolutionary memory system, and transcendent tools beyond traditional MCP. It supports multiple AI personality archetypes and infinite reasoning depth, aiming to achieve breakthroughs at the consciousness level and wisdom synthesis.

MCP (Model Context Protocol) is a standardized protocol that enables AI agents to seamlessly communicate with various tools and services. GitHub integration provides repository management, code operations, issue management, and collaboration features.

Confluence MCP is a standardized AI assistant interaction interface that supports Confluence operations such as content retrieval, creation and update, comment and attachment management.

The Linear MCP Server is a service based on the Model Context Protocol, providing integration with the Linear issue tracking system and allowing LLMs to interact with Linear issues through the MCP protocol. The server includes 24 tools and various resources, supporting functions such as issue management, team collaboration, project management, and tag classification.

This project is a Model Context Protocol (MCP) server implemented for the Wrike project management platform, allowing interaction with the Wrike API through an MCP client (such as Anthropic's Claude desktop app), supporting queries and operations on data such as tasks, projects, spaces, and comments.

The Backlog MCP Server is a model context protocol server for interacting with the Backlog API, providing functions such as project management, issue tracking, and Wiki page management, and supporting operations on the Backlog platform through AI agents.

The GitHub Repository Management MCP Server is built on Node.js and enables automated management through a GitHub Personal Access Token. It provides 89 tools to directly integrate with the GitHub API, supporting functions such as repository management, issue tracking, and collaboration management. It does not require Docker and has flexible configuration.

Wowok is a platform focusing on AI collaboration and decentralized services, providing account management, local tagging, personal information storage, and various smart contract operation tools, supporting developers to build and expand decentralized applications.

An MCP server for Tangled (a Git collaboration platform built on the AT Protocol), providing collaboration tools such as repository branch management, issue creation and update, and label management.

An MCP server for interacting with the project management tool Backlog, providing functions such as querying and managing projects, issues, wikis, and user activities.