# ferret-mcp

> ferret-mcp — fabdendev-ferret-mcp. Use this tool when you need to extract comprehensive knowledge from a codebase, including architecture, patterns, dependencies, and API surface. It solves problems related to code understanding, dependency management, and API documentation by providing a detailed analysis of the codebase. The ferret-mcp tool takes a code repository as input, such as a git repository, and outputs a complete knowledge graph of the codebase.

Canonical page: https://skillsregistry.net/skills/fabdendev-ferret-mcp  
JSON: https://api.skillsregistry.net/v1/skills/fabdendev-ferret-mcp

## Description

MCP server that extracts complete knowledge from any codebase — architecture, patterns, dependencies, API surface

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** api-integration
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/fabdendev/ferret-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": "fabdendev-ferret-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fabdendev-ferret-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fabdendev-ferret-mcp/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