# docshark

> docshark — michael-obele-docshark. Use this tool when you need to create a searchable knowledge base from public documentation websites, scraping and indexing content for effortless querying by AI assistants. It solves the problem of outdated or hard-to-find documentation by providing a local, highly-searchable repository using FTS5 and BM25 ranking. Ideal for use cases where AI agents require rapid access to the latest documentation, with inputs including git repositories and outputs featuring relevant search results.

Canonical page: https://skillsregistry.net/skills/michael-obele-docshark  
JSON: https://api.skillsregistry.net/v1/skills/michael-obele-docshark

## Description

DocShark is a powerful MCP server buit with TMCP, designed to scrape, index, and search any documentation website. It creates a local, highly-searchable knowledge base from public documentation pages using FTS5 (Full-Text Search) and BM25 ranking, allowing AI assistants to query the latest docs effortlessly.

## Trust

- **Trust score (0–1):** 0.72
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** browser-automation
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Michael-Obele/docshark)

## 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": "michael-obele-docshark"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/michael-obele-docshark` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/michael-obele-docshark/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