# SearXNG Deepdive

> Use this tool when you need to perform precise and in-depth searches, gathering results from multiple pages and converting them into a readable format. It solves problems of limited search result visibility and tedious HTML handling, ideal for workflows requiring comprehensive information gathering. The tool takes search queries as input and outputs formatted search results in Markdown, suitable for use cases where detailed research and analysis are necessary.

Canonical page: https://skillsregistry.net/skills/burakaydinofficial-searxng-deepdive  
JSON: https://api.skillsregistry.net/v1/skills/burakaydinofficial-searxng-deepdive

## Description

Connects to a self-hosted SearXNG instance and extends it with engine targeting for precision searches, multi-page fanout for deep result gathering, and automatic HTML-to-Markdown conversion of retrieved URLs. Designed for workflows that need more than a single search result page.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/burakaydinofficial-searxng-deepdive)
- **Repository:** <https://github.com/burakaydinofficial/searxng-deepdive>

## 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": "burakaydinofficial-searxng-deepdive"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/burakaydinofficial-searxng-deepdive` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/burakaydinofficial-searxng-deepdive/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