# SearXNG

> Use this tool when you need to streamline search queries across multiple engines for comprehensive results, solving problems like information gathering and fact-checking. It provides a simple API interface to input search queries and receive aggregated results from various sources. Ideal for AI assistants or applications requiring diverse search capabilities, it simplifies the process of integrating multiple search engines into a single workflow.

Canonical page: https://skillsregistry.net/skills/maccam912-searxng  
JSON: https://api.skillsregistry.net/v1/skills/maccam912-searxng

## Description

This SearXNG MCP server, developed by the Model Context Protocol team, provides a bridge to SearXNG instances for AI-powered search capabilities. Built with TypeScript and leveraging the MCP SDK, it offers a streamlined interface for querying multiple search engines through a single API. The implementation focuses on simplicity and flexibility, allowing easy integration with various SearXNG instances. It's particularly useful for AI assistants or applications needing comprehensive search results from diverse sources, enabling tasks like information gathering, fact-checking, or content discovery without the complexity of managing multiple search engine APIs directly.

## 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:** productivity
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/maccam912-searxng)
- **Repository:** <https://github.com/maccam912/searxng-mcp-server>

## 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": "maccam912-searxng"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/maccam912-searxng` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/maccam912-searxng/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