# Technical Documentation Search

> Use this tool when you need to quickly access technical documentation from popular libraries like LangChain, LlamaIndex, and OpenAI. It solves the problem of searching and retrieving relevant content by leveraging the Brave Search API and handling errors and timeouts, providing up-to-date documentation to developers and technical users. The tool takes user queries as input and returns extracted content from relevant documentation pages as output.

Canonical page: https://skillsregistry.net/skills/maitreyam-technical-documentation-search  
JSON: https://api.skillsregistry.net/v1/skills/maitreyam-technical-documentation-search

## Description

The Custom-MCP-server provides AI assistants with access to technical documentation through a specialized tool for searching and retrieving content from popular libraries including LangChain, LlamaIndex, and OpenAI. Built with Python using the FastMCP framework, it leverages the Brave Search API to find relevant documentation pages based on user queries, then fetches and extracts the content using httpx and BeautifulSoup. The implementation handles proper error cases and timeout scenarios, making it particularly valuable for developers and technical users who need quick access to up-to-date documentation without leaving their AI assistant conversation.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **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/maitreyam-technical-documentation-search)
- **Repository:** <https://github.com/maitreyam/documentation-fetching-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": "maitreyam-technical-documentation-search"
    }
  }
}
```

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