# DocsScraper

> Use this tool when you need to quickly search through API documentation, library references, and technical guides across multiple services. DocsScraper provides semantic search capabilities through documentation chunks using embeddings and AI validation, solving problems of information overload and inefficient searching. It takes in search queries as input and outputs relevant results, making it ideal for developers seeking to efficiently find specific information within large documentation sets.

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

## Description

The DocsScraper MCP Server connects to the DocsScraper web API to provide semantic search capabilities through documentation chunks, using embeddings and AI validation to find relevant results. Built in TypeScript, it interfaces with the `/api/chunks/search` endpoint and automatically falls back to scraper sources when no local results are found, supporting configurable result limits and service filtering. The server is particularly useful for developers who need to quickly search through API documentation, library references, and technical guides across multiple services like Binance, React, or other platforms indexed by the DocsScraper system.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tanevanwifferen-docs-scraper)
- **Repository:** <https://github.com/tanevanwifferen/docsscrapermcp>

## 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": "tanevanwifferen-docs-scraper"
    }
  }
}
```

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