# Pydantic AI Docs

> Use this tool when you need to access Pydantic-AI documentation programmatically, solving problems of inefficient documentation lookup and integration into development environments. It provides inputs such as document paths and outputs like specific documents, topic lists, and changelog information through a Model Context Protocol interface. Ideal for developers seeking quick documentation access without leaving their development environment.

Canonical page: https://skillsregistry.net/skills/pydantic-ai-docs  
JSON: https://api.skillsregistry.net/v1/skills/pydantic-ai-docs

## Description

Pydantic AI Documentation Server provides programmatic access to the Pydantic-AI documentation through a Model Context Protocol interface. Developed by brickfrog, it exposes tools for cloning/updating the documentation repository, retrieving specific documents by path, listing documentation topics, and accessing changelog information. The server uses GitPython to manage the repository, Markdown for parsing content, and FastMCP for exposing its functionality as tools. It's particularly valuable for developers who need quick access to Pydantic-AI documentation without leaving their development environment.

## 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:** file-system
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/pydantic-ai-docs)
- **Repository:** <https://github.com/omniwaifu/pydantic-ai-docs-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": "pydantic-ai-docs"
    }
  }
}
```

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