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Sylex Search

@MastadoonPrime

リポジトリ

Sylex Search について

Universal search index for AI agents. Search 11,000+ software tools, packages, and services across npm, PyPI, crates.io, GitHub, Wikidata, and SaaS. 6 MCP tools: discover, details, compare, categories, alternatives, feedback. Zero LLM calls, millisecond responses.

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

公開者

MastadoonPrime

投稿者

MastadoonPrime

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "sylex-search": {
      "command": "npx",
      "args": [
        "sylex-search"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Sylex Search?

Sylex Search is a universal search index for AI agents, allowing them to query over 11,000 software tools, packages, and services from npm, PyPI, crates.io, GitHub, Wikidata, and SaaS. It provides six MCP tools and requires zero LLM calls, returning results in milliseconds.

How to use Sylex Search?

Install and run the MCP server, then invoke any of the six provided tools: discover, details, compare, categories, alternatives, and feedback. No specific configuration keys are mentioned in the README.

Key features of Sylex Search

  • Searches 11,000+ software tools and packages.
  • Covers npm, PyPI, crates.io, GitHub, Wikidata, and SaaS.
  • Six MCP tools: discover, details, compare, categories, alternatives, feedback.
  • Zero LLM calls for all operations.
  • Millisecond response times.
  • Universal search index purpose‑built for AI agents.

Use cases of Sylex Search

  • AI agents discovering relevant packages across multiple registries.
  • Comparing details of similar tools from different ecosystems.
  • Finding alternatives for a given software package.
  • Browsing software by categories or collecting user feedback.

FAQ from Sylex Search

What data sources does Sylex Search cover?

It indexes over 11,000 entries from npm, PyPI, crates.io, GitHub, Wikidata, and various SaaS products.

Does Sylex Search require any LLM calls?

No. The README explicitly states "Zero LLM calls" — all search and comparison results are generated without invoking a language model.

How fast are the responses?

Responses are returned in milliseconds, making the server suitable for real‑time agent interactions.

What MCP tools are available?

The server provides six tools: discover, details, compare, categories, alternatives, and feedback.

Is there any authentication or transport requirement?

The README does not mention authentication or specific transport details. Standard MCP transport (e.g., stdio or SSE) is assumed.

コメント

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