MetaMCP
Centralizes management of multiple AI services, providing secure API key handling and unified access for streamlined interactions
This MCP server implementation manages multiple MCPs through a centralized interface, streamlining AI assistant interactions across various platforms. Developed by James Zhang, it utilizes TypeScript and integrates with the Model Context Protocol SDK. The server focuses on secure API key management and provides a unified access point for multiple MCP services. It's designed for scalability and easy configuration, making it particularly useful for applications that need to coordinate multiple AI assistants or integrate diverse AI services. The implementation supports Docker deployment and is optimized for production environments, offering a robust solution for complex AI orchestration scenarios.
Source
Repository: https://github.com/metatool-ai/mcp-server-metamcp
Maintain MetaMCP?
Let people know it's listed here — add the badge (live metrics, light/dark aware) or a plain link to your README or docs.
[](https://getagentictools.com/mcp/metatool-ai-mcp-server-metamcp?ref=badge) Related mcp
Ignite UI Official MCP server for Ignite UI providing documentation access, GitHub API integration, and CLI component scaffolding.
Hostinger API Integrates with Hostinger's hosting platform to enable domain registration and DNS management, VPS creation and configuration, fir
WeCom Integrates WeCom (WeChat Work) bot functionality for enterprise messaging, notifications, and interactive chatbots.
Octopus Deploy Official Octopus Deploy integration providing 35+ tools for deployment management, infrastructure monitoring, release tracking, an
Backlog Integrates with Backlog project management platform to enable direct management of projects, issues, wikis, git repositories, pull
Railway Integrates with Railway's platform and CLI to enable deployment, service management, environment configuration, and infrastructure