A curated list of AI tools and resources for developers, see the AI Resources .

MCP Registry

A community-driven registry service for Model Context Protocol (MCP) servers, providing discovery and publishing capabilities for MCP-compatible servers.

Introduction

MCP Registry is a community-driven registry service for Model Context Protocol (MCP) servers, dedicated to providing developers and enterprises with discovery, publishing, and management capabilities for MCP-compatible servers. Users can quickly find, integrate, and publish various MCP services through the registry, promoting openness and collaboration in the AI ecosystem.

Key Features

  • Supports multiple authentication methods (GitHub OAuth, DNS verification, etc.) to ensure server ownership security
  • Provides MCP server listings and search functionality for quick discovery and integration
  • Open-source architecture supporting community contributions and extensions
  • Rich API documentation and CLI tools for automated integration and development
  • Supports multi-environment deployment, compatible with mainstream cloud platforms and local environments

Use Cases

  • AI service developers to publish and manage MCP-compatible servers
  • Enterprises or teams to quickly integrate MCP services for multi-model collaboration
  • Community users to discover, experience, and provide feedback on new MCP servers

Technical Highlights

  • Developed in Go language for stable and efficient architecture
  • Supports mainstream technology stacks such as PostgreSQL and Docker
  • Comprehensive API design and documentation system for easy secondary development
  • Community-driven with continuous iteration and innovation

Comments

MCP Registry
Resource Info
🌱 Open Source 🧩 MCP 🛠️ Dev Tools 🚀 Deployment 🧲 Utility