ARadRareness/mcp-registry

A central registry and HTTP interface for coordinating Model Context Protocol (MCP) servers.

35
/ 100
Emerging

This project helps developers manage and coordinate multiple AI models or specialized tools running as "Model Context Protocol (MCP)" servers. It takes individual MCP servers as input and provides a centralized system for their registration, health monitoring, and unified access to their functionalities. A backend or full-stack developer working with AI model deployment would find this useful for managing their distributed AI services.

No commits in the last 6 months.

Use this if you are developing applications that need to interact with a network of various AI models or specialized tools, and you need a central way to register, monitor, and access them.

Not ideal if you are a data scientist or end-user looking for a pre-built AI application, as this is a developer tool for managing AI infrastructure.

AI model management API development Backend infrastructure Distributed systems AI service orchestration
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 12 / 25

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Stars

34

Forks

5

Language

Python

License

MIT

Last pushed

Dec 29, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/mcp/ARadRareness/mcp-registry"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.