# Python Docs

> Use this tool when you need to access accurate and offline Python documentation for symbol lookup, section retrieval, and package metadata. It solves problems related to Python development, debugging, and learning by providing a local index of official Python standard library documentation. It takes in queries and documentation version inputs, and outputs relevant information, making it ideal for use cases where internet connectivity is limited or when working with specific Python versions.

Canonical page: https://skillsregistry.net/skills/ayhammouda-python-docs  
JSON: https://api.skillsregistry.net/v1/skills/ayhammouda-python-docs

## Description

Python Docs provides AI agents with precise access to the official Python standard library documentation. It builds a local SQLite index using FTS5 full-text search and exposes tools for symbol lookup, section retrieval, version listing, and PyPI package metadata. The server operates offline after initial setup and supports Python documentation versions 3.10 through 3.14.

## Trust

- **Trust score (0–1):** 0.40
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

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

## 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": "ayhammouda-python-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ayhammouda-python-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ayhammouda-python-docs/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