MCP.Market

Annolux Search MCP server

by eason4kim-rocket·io.github.eason4kim-rocket/annolux·v0.1.2
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Search a curated English and Chinese web index through one read-only MCP tool.

C68/100grade C
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Safety scan
C68/100

full report

Adoption
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If you have run it, two minutes of your experience saves the next person an afternoon.

Annolux Search tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.10 · 2026-11-01 · same rubric, same numbers if you re-run it

no findings
  • –Code scanpackage could not be scannedn/a
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 7 days ago15/15
  • Maintainer identityregistry namespace matches repository owner6/10
Overall 68/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Annolux Search compares

Against every graded Web search MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
68/100
higher than 33% of 3,470 Web search servers

Install Annolux Search in Claude Code, Cursor or VS Code

claude mcp add annolux -- docker run -i --rm ghcr.io/eason4kim-rocket/annolux-mcp:0.1.2
Add to Cursor

What the publisher says

From the Annolux Search repository's README, as published. We do not edit it. Read it on GitHub

⚡ Annolux

Curated English & Chinese Search API and MCP for AI Agents & RAG Systems

Search that can show its work. Every result carries an explicit fetchedat timestamp and provenance.*

🌐 Website • 📖 API Docs • ⚡ MCP Quickstart • 📊 Frozen Benchmarks • 📁 Examples • 🇨🇳 中文文档

💡 Why Annolux?

Current web search APIs for AI agents suffer from three fatal flaws:

  1. Garbage in, garbage out: Commercial search engines index millions of SEO farms, scraped spam, and auto-generated noise that pollute LLM context windows.
  2. Missing time-provenance: LLMs hallucinate current state because search APIs omit the exact snapshot timestamp (fetched_at).
  3. Predatory billing: Paying full price for failed requests, empty outputs, or rate-limited retries.

Annolux solves this with an agent-first curated approach:

  • 🛡️ Curated Bilingual Technical Index: High-signal English & Chinese corpus (Rust, Go, Python, AI/ML, Official Docs, RFCs, GitHub, arXiv).
  • 🕒 Explicit fetchedat Timestamp**: Every ranked hit reveals the exact second it was ingested—enabling grounded citations and temporal reasoning.
  • 🎯 Predictable Ledger Billing: Exactly 1 credit per successful 2xx response. Errors, timeouts (504), rate limits (429), and bad requests cost 0 credits.
  • 🧩 Native Model Context Protocol (MCP): Zero setup across Claude Code, Cursor, Windsurf, Cline, Zed, and Claude Desktop.
  • 🚀 1,000 Free Credits Every Month: Sign in with GitHub or Google at annolux.com and start querying in 30 seconds.

🥊 Comparison: Annolux vs. Generic Search APIs

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Annolux Search: common questions

Is Annolux Search MCP server safe?
With care: it is graded C, so read the findings first (68/100). Read the Annolux Search safety report
How do I install Annolux Search?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Annolux Search need an API key?
Yes. The registry entry asks for ANNOLUX_API_KEY.
Is Annolux Search maintained?
The last commit was 9 days ago (2026-10-25). The latest release is v0.1.2.
What can I use instead of Annolux Search?
Servers from other publishers that do the same job: Zotero MCP server, Perplexity API Platform (moved to ai.perplexity/mcp-server) and Tavily MCP server.

Alternatives to Annolux Search

Same job from other publishers: the closest match first, then the best rated.

  • Zotero MCP
    Search, read, annotate, and add to your Zotero research library, local or web.
    B
  • Perplexity API Platform (moved to ai.perplexity/mcp-server)
    Real-time web search, reasoning, and research through Perplexity's API
    A
  • Tavily
    MCP server for advanced web search using Tavily
    A
  • Search
    MCP server for web search operations
    A
  • Perplexity API Platform
    Real-time web search, reasoning, and research through Perplexity's API
    A

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