# Documentation Search

> Use this tool when you need to quickly access technical documentation for various frameworks, libraries, and platforms, eliminating manual searches across multiple sites. It provides a unified interface for retrieving relevant information, solving problems such as inefficient coding workflows and information overload. With intelligent caching and categorized sources, it optimizes content retrieval for AI consumption, taking in queries and returning relevant documentation results.

Canonical page: https://skillsregistry.net/skills/anton-prosterity-documentation-search  
JSON: https://api.skillsregistry.net/v1/skills/anton-prosterity-documentation-search

## Description

This documentation search MCP server by Anton Mishel provides AI assistants with direct access to technical documentation across 40+ popular frameworks, libraries, and platforms including Python, React, FastAPI, AWS, OpenAI, and more. The implementation features intelligent caching with configurable TTL, categorized documentation sources with metadata like learning curves and tags, and HTTP-based content retrieval optimized for AI consumption. Built for developers who need quick access to official documentation during coding workflows, it eliminates the need to manually search through multiple documentation sites by providing a unified interface for retrieving relevant technical information across the modern development stack.

## Trust

- **Trust score (0–1):** 0.42
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/anton-prosterity-documentation-search)
- **Repository:** <https://github.com/gemini2026/documentation-search-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": "anton-prosterity-documentation-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anton-prosterity-documentation-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anton-prosterity-documentation-search/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