# Python Docs

> Use this tool when you need to quickly access Python documentation for tasks like code explanation, function lookup, or language queries. It solves problems of cumbersome web scraping or complex API integrations by providing a simple interface to fetch relevant documentation links. The tool takes a search query as input and returns useful Python documentation links as output.

Canonical page: https://skillsregistry.net/skills/anuragraio17-python-docs  
JSON: https://api.skillsregistry.net/v1/skills/anuragraio17-python-docs

## Description

This Python documentation MCP server, developed by an unnamed author, provides a tool for fetching Python documentation using the Brave Search API. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers a streamlined interface for querying Python-related information. The implementation focuses on simplicity, offering a single 'get_python_docs' function that takes a search query and returns relevant documentation links. It's particularly useful for AI assistants or applications needing quick access to Python documentation, enabling tasks like code explanation, function lookup, or general Python language queries without requiring direct web scraping or complex API integrations.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/anuragraio17-python-docs)
- **Repository:** <https://github.com/anuragrai017/python-docs-server-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": "anuragraio17-python-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anuragraio17-python-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anuragraio17-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