registry

GitHub's official MCP Server. This repository hosts the MCP server implementation that enables Model Context Protocol (MCP) tooling for GitHub data and workflows. It exposes a wide registry of MCP tools spanning code management, repository operations, issues, pull requests, workflows, gists, and more. The documentation and commit history reveal a broad set of tools (GetMe, GetTeams, ListIssues, CreateOrUpdateFile, GetRepositoryTree, and many others) that are designed to be wired into dynamic toolsets and accessed via a consistent ServerTool pattern. This MCP server is built with extensibility in mind, supporting features like tool dependencies, dynamic toolsets, and feature flags to adapt to varied prompts and use cases. The project emphasizes a registry-driven approach where tools, resources, and prompts are defined and validated, enabling robust integration with client apps and AI models.

OpenMCP is a dual-purpose framework: a standard for converting web APIs into MCP servers and an open-source registry of servers that follow that standard. Each OpenMCP server exposes a token-efficient MCP interface that enables MCP clients to make requests to a target web API on behalf of users. Together, the servers in the registry enable client LLMs to fetch data and perform actions across a broad set of domains, providing a scalable, interoperable way to integrate external services with MCP clients. The documentation guides you through creating a server, adding it to MCP clients, and converting various web API formats into OpenMCP-compatible servers, covering REST, gRPC, JSON-RPC, GraphQL, SOAP, and PostgREST variants.

MCPJungle is a self-hosted MCP Gateway and Registry for AI agents. It serves as a central registry and gateway to manage Model Context Protocol (MCP) servers and the tools they expose. By consolidating MCP server registration, tool discovery, and access control, MCPJungle enables AI agents and clients to discover, group, and securely invoke tools from a single, unified gateway. The project provides a CLI, Docker-based deployment options, and enterprise-ready features such as tool grouping, access control, and observability to streamline MCP-based workflows across organizations.