What is the key difference between MCP SearXNG and MCP Local Rag?

MCP SearXNG belongs to the Search & Data Extraction category with local stdio execution, while MCP Local Rag belongs to the Search & Data Extraction category with local stdio execution.

How do I install MCP SearXNG or MCP Local Rag in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are MCP SearXNG and MCP Local Rag free or paid?

MCP SearXNG operates under a Free / Open Source model (No auth required). MCP Local Rag operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

MCP SearXNG lists 4 tools with 1 views and 1,250 GitHub stars. MCP Local Rag lists 5 tools with 2 views and 134 GitHub stars.

Can I use both MCP SearXNG and MCP Local Rag together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

Side-by-Side Model Context Protocol Comparison

MCP SearXNG vs MCP Local Rag

In-depth architectural comparison of the MCP SearXNG and MCP Local Rag MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

MCP SearXNG

Search & Data Extraction · Local stdio

Quality: 57/100 (Good) | Auth: No auth required

MCP Local Rag

Search & Data Extraction · Local stdio

Quality: 69/100 (Great) | Auth: No auth required

Verdict Summary: Choose MCP SearXNG if you need specialized Search & Data Extraction tools running via a local process. Choose MCP Local Rag if your workspace requires Search & Data Extraction integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose MCP SearXNG when:

You need dedicated capabilities in the Search & Data Extraction domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
You have access to required keys: SEARXNG_URL.
Primary tools included: searxng_web_search, searxng_search_suggestions, searxng_instance_info.

Explore MCP SearXNG Details

Choose MCP Local Rag when:

You need dedicated capabilities in the Search & Data Extraction domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: rag_search_ddgs, rag_search_google, deep_research.

Feature & Specification Comparison

Specification	MCP SearXNG Ihor-Sokoliuk Search & Data Extraction	MCP Local Rag nkapila6 Search & Data Extraction
Summary	/☁️ - A Model Context Protocol Server for SearXNG	"primitive" RAG-like web search model context protocol (MCP) server that runs locally. No APIs needed.
Category & Scope	Search & Data Extraction

Tools & Capabilities Breakdown

MCP SearXNG Tools (4)

searxng_web_search

Searches the web using SearXNG and returns a list of results, each with a title, URL, and content snippet. CRITICAL: The required parameter name is exactly `query` (not `prompt`, `q`, or any other name). Calls an external SearXNG instance; availability depends on the `SEARXNG_URL` configuration. Use `pageno` to paginate results; combine `time_range` and `language` to narrow scope. When `engines` and `time_range` are both provided, every selected engine must explicitly advertise time-range support via SearXNG /config; otherwise the request is rejected before search. To read the full text of a result URL, follow up with `web_url_read`.

searxng_search_suggestions

Returns autocomplete suggestions from the configured SearXNG instance. Use this to refine vague or partial queries before searching.

searxng_instance_info

Discovers capabilities from all reachable configured SearXNG instances via /config, including categories.common/available, engines.common/available, defaults, locales, and plugins.

web_url_read

Fetches a URL and returns readable content as markdown. Content-type aware: HTML is converted to markdown; JSON is pretty-printed; plain text, YAML, TOML, and XML are returned as fenced readable text. PDF text extraction is supported with bounded input, output, page count, time, concurrency, and memory; OCR is not supported. Binary, media, archive, and octet-stream downloads other than PDFs are intentionally rejected instead of being returned as raw bytes. When the operator configures browser solvers, mcp-searxng attempts FlareSolverr first and then Byparr only after a busy or transient-unavailable acquisition; cache hits bypass acquisition and a final busy or unavailable provider uses one uncached direct-fetch fallback. Three modes: (1) Full content — omit filtering params; use `startChar`/`maxLength` to paginate large pages. (2) Section extraction — set `section` to return content under a specific heading. (3) Headings only — set `readHeadings: true` to list all headings (mutually exclusive with other filtering params). Returns an error string if the URL is unreachable or content cannot be extracted. Use after `searxng_web_search` to read the full content of individual result URLs.

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

MCP SearXNG Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "ihor-sokoliuk-mcp-searxng": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-searxng"
      ],
      "env": {
        "SEARXNG_URL": "YOUR_SEARXNG_URL_HERE"
      }
    }
  }
}

MCP Local Rag Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "nkapila6-mcp-local-rag": {
      "command": "uvx",
      "args": [
        "--python=3.10",
        "--from",
        "git+https://github.com/nkapila6/mcp-local-rag",
        "mcp-local-rag"
      ]
    }
  }
}

Frequently Asked Questions

MCP SearXNG is categorized under Search & Data Extraction and uses a local stdio subprocess. In contrast, MCP Local Rag belongs to Search & Data Extraction using local stdio subprocess. Select MCP SearXNG when you need capabilities focused on search & data extraction and MCP Local Rag when you require tools for search & data extraction.

More alternatives to MCP SearXNG More alternatives to MCP Local Rag Search & Data Extraction category hub