# Open Docs (Technical Documentation Search)

> Use this tool when you need to make technical documentation searchable and accessible, particularly for teams with multilingual support requirements. It solves the problem of information overload by providing full-text search functionality for documentation sites, converting content to Markdown and indexing with Lunr.js. Ideal for use cases where documentation is scattered or hard to navigate, Open Docs accepts documentation sites as input and outputs searchable Markdown files with support for multiple languages, including Chinese.

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

## Description

Open-source MCP server that provides document management and search functionality for technical documentation. Built with TypeScript and leveraging jieba-wasm for Chinese language support, it crawls documentation sites, converts content to Markdown, and enables full-text search with Lunr.js indexing. Particularly valuable for teams needing to make their documentation searchable and accessible through AI assistants while maintaining support for multiple languages.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/open-docs)
- **Repository:** <https://github.com/askme765cs/open-docs-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": "open-docs"
    }
  }
}
```

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