Searxng Deepdive MCP server
io.github.burakaydinofficial/searxng-deepdive·v0.4.1·1 starsMCP server for SearXNG with engine targeting, multi-page fanout, and HTML→Markdown URL reading.
1 stars40 downloads/wk
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If you have run it, two minutes of your experience saves the next person an afternoon.
Searxng Deepdive tools
No tool declarations could be read from the package source. They show once the server is installed.
Public scan report
scanner v0.1.9 · 2026-09-26 · same rubric, same numbers if you re-run it
- Code scan19 source files scanned25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 6 days ago15/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
How Searxng Deepdive compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 92/100
- higher than 95% of 48,255 servers
- GitHub stars
- 1
- more than 65% of 28,688 servers
- Downloads a week
- 40
- more than 31% of 12,191 servers with a package
Install Searxng Deepdive in Claude Code, Cursor or VS Code
Runs npx -y searxng-deepdive on your machine. Read the scan report first; the gateway never runs local packages.
claude mcp add searxng-deepdive -- npx -y searxng-deepdive
What the publisher says
From the Searxng Deepdive repository's README, as published. We do not edit it. Read it on GitHub
searxng-deepdive
An MCP server for SearXNG designed for LLM agents doing real research. Four tools with agent-friendly schemas, multi-page result fanout, lightweight URL→Markdown reading, and tool descriptions generated dynamically from the live engine pool of your SearXNG instance.
Why another mcp-searxng?
Existing packages are minimal — most expose a single search(query) tool with no way for the model to ask for more results, target specific engines, or constrain by category. The richer ones bake static descriptions, so the LLM never learns what's actually enabled on this instance. None of them treat agent-tool-selection ergonomics as a design priority.
searxng-deepdive opens those knobs up:
Quickstart
Install via npx -y from any MCP client:
{
"mcpServers": {
"searxng": {
"command": "npx",
"args": ["-y", "searxng-deepdive"],
"env": { "SEARXNG_URL": "http://127.0.0.1:7979/" }
}
}
}SEARXNG_URL should point at your running SearXNG instance. Need one? The companion repo SearXNG-Compose ships a plug-and-play Docker stack tuned for LLM consumption.
Requirements: Node.js 22 or newer.
Tools
The server registers four tools. The LLM picks among them based on the descriptions below, augmented at startup with the live engine and category list from your instance.
search(query, [...])
Broad web search across the full enabled engine pool. Use when you don't have a specific source preference. Returns merged, deduplicated results across however many engines respond.
searchonengines(query, engines, [...])
Search using only the specified engines (e.g. ["arxiv", "pubmed", "semantic scholar"]). The tool description registered with the MCP client includes the actual list of engines enabled on your instance — agents don't have to guess names. Validation rejects invalid names with a "did you mean" hint when they look like categories instead of engines.
searchbycategory(query, categories, [...])
Search within specific categories — runs every engine tagged with each. Description includes the live category list and which engines belong to each. Same validation: invalid category names produce a clear error that points at searchonengines when the offending value is actually an engine name.
weburlread(url, [readHeadings, section, paragraphRange, startChar, maxLength])
Fetch a URL and convert its HTML to clean Markdown. Lightweight HTTP + HTML→Markdown (no headless browser) — handles ~80% of the static-HTML web (Wikipedia, docs sites, blogs, news, GitHub READMEs).
Token-efficient extraction modes (priority order, first set wins):
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Searxng Deepdive: common questions
- Is Searxng Deepdive MCP server safe?
- Yes, by our scan: it is graded A (92/100). Read the Searxng Deepdive safety report
- How do I install Searxng Deepdive?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Searxng Deepdive need an API key?
- No secret keys are declared. It reads 1 setting from the environment.
- Is Searxng Deepdive maintained?
- The last commit was 45 days ago (2026-09-20). The latest release is v0.4.1.
- How does Searxng Deepdive compare with other MCP servers?
- safety score 92/100 (higher than 95% of 48,255 servers); github stars 1 (more than 65% of 28,688 servers); downloads a week 40 (more than 31% of 12,191 servers with a package). Full comparison.