# MCP Registry

> Use this tool when you need to discover and search available Model Context Protocol (MCP) servers, or interact with the MCP Registry to retrieve server metadata for semantic analysis and exploration. It solves problems related to finding and navigating MCP servers, and provides inputs such as custom registry endpoints and configurable result limits. The tool returns optimized server metadata as output, making it ideal for use cases that require efficient exploration and discovery of MCP servers.

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

## Description

Provides tools to interact with the Model Context Protocol Registry, enabling discovery and searching of available MCP servers. Supports pagination with configurable result limits (1-100, default 50), cursor-based navigation, and custom registry endpoints. Returns server metadata optimized for semantic analysis and exploration.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

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

## 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": "formulahendry-registry"
    }
  }
}
```

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