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.

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.

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 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.

An MCP server that combines Claude Code and Google Gemini AI to achieve in - depth code analysis through multi - model collaboration. Claude is good at local context operations and CLI workflows, while Gemini uses its ultra - large context window for distributed system debugging and long - trace analysis.

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.

The HackMD MCP Server is a service based on the Model Context Protocol that allows AI assistants to manage users' notes and team collaboration content through the HackMD API.

A multi - agent AI infrastructure based on the Model Context Protocol (MCP), providing a standardized communication layer, supporting vector databases, tool integration, and multi - agent collaboration, including core components such as an inspector dashboard, Qdrant vector database, and Docker network.

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.

The GitHub MCP Server is a server implementation based on the Model Context Protocol (MCP), providing functions for interacting with GitHub repositories, issues, discussions, etc., and supporting automated management and enhanced collaboration.

mcp - agent is a lightweight AI agent framework based on the Model Context Protocol (MCP), which supports building efficient agent applications through a simple and composable model. It integrates the lifecycle management of the MCP server and implements multiple workflow models, such as parallel processing, routing, evaluation optimization, etc., and is suitable for various AI application scenarios such as multi - agent collaboration and human - machine interaction.