# claude-code-docs

> claude-code-docs — jpsweeney97-claude-code-docs-mcp. Use this tool when you need to quickly find specific information within Claude Code documentation, as it solves the problem of slow and inefficient searches by returning ranked snippets with category filtering, taking in search queries as input and outputting relevant documentation excerpts. It is ideal for developers seeking fast access to official documentation without having to scan entire documents. This tool is particularly useful when working on projects that require frequent reference to Claude Code documentation.

Canonical page: https://skillsregistry.net/skills/jpsweeney97-claude-code-docs-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jpsweeney97-claude-code-docs-mcp

## Description

Searches Claude Code documentation via BM25 indexing, returning ranked snippets with category filtering. Enables fast, local search over official docs without full-document scans.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qny979y5f2)
- **Repository:** <https://github.com/jpsweeney97/claude-code-docs-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": "jpsweeney97-claude-code-docs-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jpsweeney97-claude-code-docs-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jpsweeney97-claude-code-docs-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