# MetaMCP

> Use this tool when you need to manage multiple AI assistants or integrate diverse AI services across various platforms, streamlining interactions through a centralized interface. It solves problems of complexity and scalability in AI orchestration, providing a unified access point for secure API key management. Ideal for applications requiring coordination of multiple AI services, MetaMCP offers a robust solution with easy configuration and Docker deployment.

Canonical page: https://skillsregistry.net/skills/metamcp  
JSON: https://api.skillsregistry.net/v1/skills/metamcp

## Description

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.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/metamcp)
- **Repository:** <https://github.com/metatool-ai/mcp-server-metamcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "metamcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/metamcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/metamcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt