# Registry

> Use this tool when you need to manage and discover Model Context Protocol (MCP) server implementations, interact with the MCP registry, or publish new server entries. It provides key functionalities such as checking server health, listing registry entries, and retrieving server details through a simple interface that requires a registry URL and API key. Ideal for use cases that involve MCP registry service integration, this tool enables seamless interaction with the registry ecosystem.

Canonical page: https://skillsregistry.net/skills/maorfr-registry  
JSON: https://api.skillsregistry.net/v1/skills/maorfr-registry

## Description

MCP-Registry-MCP is a server implementation that provides a bridge to the Model Context Protocol Registry service. Developed by maorfr, it enables AI assistants to interact with the MCP registry through four key tools: checking server health, listing registry entries, retrieving server details, and publishing new server entries. The server requires configuration with a registry URL and API key, can be run in containers using Podman or Docker, and is particularly useful for managing and discovering MCP server implementations within the registry ecosystem.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **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/maorfr-registry)
- **Repository:** <https://github.com/redhat-community-ai-tools/mcp-registry-mcp>

## 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": "maorfr-registry"
    }
  }
}
```

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