MetaMCP
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/metatool-ai/mcp-server-metamcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve MetaMCP from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.