# SearXNG MCP Server

> Use this tool when you need to perform comprehensive web searches across multiple engines with customizable filtering options. It solves problems of limited search results and lack of control over search parameters by providing category, language, time range, and safe search level filtering. It takes in search queries and parameters as input and outputs relevant results, making it ideal for use cases requiring in-depth information gathering and research.

Canonical page: https://skillsregistry.net/skills/martinchen448-searxng-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/martinchen448-searxng-mcp-server

## Description

Integrates with SearXNG metasearch engine to provide powerful web search capabilities across multiple search engines with filtering options for categories, languages, time ranges, and safe search levels. Enables comprehensive web searches, autocomplete suggestions, and search engine configuration access through MCP-compatible applications.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g2krem0zud)
- **Repository:** <https://github.com/martinchen448/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": "martinchen448-searxng-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/martinchen448-searxng-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/martinchen448-searxng-mcp-server/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
