# searxng-mcp-scraper

> searxng-mcp-scraper — ptrken01-searxng-mcp-scraper. Use this tool when you need to perform web searches or extract clean page text using natural language inputs, enabling AI agents to access relevant information and solve problems related to data retrieval and text extraction. It takes natural language queries as input and returns relevant search results or extracted text as output. This tool is ideal for use cases where AI agents require web-based data to inform decision-making or complete tasks.

Canonical page: https://skillsregistry.net/skills/ptrken01-searxng-mcp-scraper  
JSON: https://api.skillsregistry.net/v1/skills/ptrken01-searxng-mcp-scraper

## Description

MCP server that exposes SearXNG search and HTTP fetch tools for AI agents, enabling web search and clean page text extraction via natural language.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hwvjkx04mh)
- **Repository:** <https://github.com/ptrken01/searxng-mcp-scraper>

## 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": "ptrken01-searxng-mcp-scraper"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ptrken01-searxng-mcp-scraper` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ptrken01-searxng-mcp-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