io.github.burakaydinofficial/searxng-deepdive

MCPcommunity
v0.3.3io.github.burakaydinofficialUnknownUpdated 2mo agonpmGitHub

MCP server for SearXNG with engine targeting, multi-page fanout, and HTML→Markdown URL reading.

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 Existing packages are minimal — most expose a single tool with no way for the model to ask for more results, target specific engines, or constrain by…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
2mo agoLast update
Package
Authorio.github.burakaydinofficial
LicenseUnknown
Version0.3.3
Sourcemcp-registry
Trust Status
A
95/100Trusted
Listed in Forge index+10/10
Publisher identity verified+0/25
Publisher: run `forge publish` from the package repo to claim ownership
Ed25519 publish signature+0/10
Included automatically when the publisher runs `forge publish`
Domain verification+0/5
Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
CVE scan · clean+30/30
Static analysis · clean+20/20
npm provenance (Sigstore)+5/5
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance✓ Sigstore-verified · 77bd2f4
Dependencies60 resolved+ · none vulnerable
Tool surface4 tools · none privileged
Security scan✓ Cleanv0.3.3 · 20d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

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 Existing packages are minimal — most expose a single 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…

Keywords
mcp