# SearXNG MCP Server

> Use this tool when you need to perform private web searches with local Large Language Models (LLMs) in LM Studio, enabling concurrent searches and advanced filtering options. It solves problems related to data privacy and efficient information retrieval, providing cached results and customizable search parameters. The SearXNG MCP Server takes in search queries and returns filtered results, ideal for use cases requiring secure and controlled web searching.

Canonical page: https://skillsregistry.net/skills/pascalrjt-searxng-websearch-mcp  
JSON: https://api.skillsregistry.net/v1/skills/pascalrjt-searxng-websearch-mcp

## Description

Enables local LLMs in LM Studio to perform web searches through a privacy-focused local SearXNG instance. It features concurrent search capabilities, automatic result caching, and advanced filtering options like domain exclusion and time-range limits.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/oup91fs7cn)
- **Repository:** <https://github.com/Pascalrjt/SearXNG-Websearch-MCP>

## 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": "pascalrjt-searxng-websearch-mcp"
    }
  }
}
```

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