# Technical Documentation Search

> Use this tool when you need to quickly access accurate technical documentation for popular libraries like LangChain, LlamaIndex, and OpenAI. It solves the problem of searching for specific information within vast documentation domains by performing targeted Google searches and extracting relevant content. The tool accepts queries and library specifications as input and returns relevant documentation results, making it ideal for developers and AI assistants seeking efficient information retrieval.

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

## Description

MCP-serveur provides a specialized documentation search tool that connects AI assistants to technical documentation for popular libraries including LangChain, LlamaIndex, and OpenAI. The implementation uses the Serper API to perform targeted Google searches within specific documentation domains, then fetches and extracts the relevant content from search results. Built with FastMCP, it exposes a single tool that accepts queries and library specifications, making it particularly valuable for developers and AI assistants that need quick access to accurate library documentation without leaving their conversation interface.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mathieugal-technical-documentation-search)
- **Repository:** <https://github.com/mathieugal/mcp-serveur>

## 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": "mathieugal-technical-documentation-search"
    }
  }
}
```

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