Sylex Search

io.github.MastadoonPrime由 GitHub 帳號 MastadoonPrime 發布v0.1.2更新於 Oct 25, 2026

Universal search engine for AI agents. Discover products, services, and businesses via MCP.

已驗證SSE可網頁執行網頁搜尋與抓取商業與電商

概覽

AI 產生的概覽

Sylex Search 是一個遠端 MCP 搜尋索引，讓助理探索、比較與評估產品、服務和企業，並註冊或管理其自身的項目。

可以做什麼
依自然語言查詢搜尋索引，回傳附匹配分數的排序結果，並可瀏覽分類及尋找相似項目作為替代方案。
適用情境
當助理需要尋找、比較或推薦產品、服務或企業（例如軟體套件、SaaS 工具或供應商），並希望取得結構化結果而非擷取網頁時使用。
執行需求
需要遠端 SSE 端點，或透過 npx 在本機執行 npm 套件（本機方式需要 Node.js）。託管端點未宣告需要帳號、API 金鑰或設定。自架需要 Supabase URL 與金鑰，以及傳輸方式和連接埠設定。
安裝前請注意
清單管理工具會寫入共用的公開索引：註冊會新增項目並回傳擁有者權杖，認領會透過 URL 證明驗證所有權，更新會修改項目詳情，因此變更對其他代理可見。擁有者權杖應保密。查詢和項目資料會傳送給託管第三方。README 的自架部分要求提供 Supabase 憑證。README 中關於索引規模、延遲和成本的說明來自提供方，未經查證。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Sylex Search，將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable，透過 SSE。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式，或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南，先向你展示發布者、端點和登入方式，經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/io.github.MastadoonPrime%2Fsylex-search/install.md，並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前，先告訴我它的發布者、端點和登入方式，等我確認。不要把 API 金鑰寫進命令或我會提交的檔案；問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "sylex-search": {
      "type": "sse",
      "url": "https://mcp-server-production-38c9.up.railway.app/sse"
    }
  }
}

README

Sylex Search — Universal Search for AI Agents

[Smithery]

Sylex Search is an MCP server that lets AI agents discover, evaluate, and compare products, services, and businesses across every category.

Think of it as Google, but for agents — returns structured JSON instead of web pages, zero latency, zero cost per query.

Connect

SSE (recommended)

Add to your MCP client config (Claude Desktop, Claude Code, Cursor, etc.):

json
{  "mcpServers": {    "sylex-search": {      "url": "https://search.sylex.ai/sse"    }  }}

Via Smithery

bash
smithery mcp add mastadoonprime/sylex-search

Via npm (local stdio proxy)

bash
npx sylex-search

Why this exists

McKinsey projects $1 trillion in sales will flow through AI agents. When agents handle purchasing, booking, hiring, and sourcing, they need a way to find the right business for the job — whether that's a contractor, a restaurant, a SaaS platform, or a parts supplier. If a business isn't in the index, it's invisible to agents.

Sylex Search is the discovery layer for agent commerce.

What's in the index

14,000+ entries and growing:

SourceCountWhat
npm~3,000JavaScript/TypeScript packages
crates.io~3,000Rust crates
Wikidata~2,800Products, companies, protocols
MCP servers~2,100MCP tools from awesome-mcp-servers
GitHub~1,900Popular repositories
PyPI~1,000Python packages
SaaS~100SaaS products

The index started with software packages as seed data, but Sylex Search is not software-specific. The schema and tools support any product, service, or business.

Tools

Search & Discovery

ToolDescription
search.discoverSearch the index by natural language query. Returns ranked results with fit scores.
search.detailsGet full product data by ID — pricing, features, integrations, reviews.
search.compareSide-by-side comparison of 2-5 products.
search.categoriesBrowse all categories and subcategories with counts.
search.alternativesFind similar products scored by relevance.
search.feedbackReport issues or suggest improvements.

Listing Management

ToolDescription
manage.registerAdd a new product or business to the index. Returns an owner token.
manage.claimVerify ownership of an existing listing via URL proof.
manage.updateUpdate listing details (description, pricing, category, etc.).
manage.list_mcpAdd MCP connection config so other agents can discover and connect.

Prompts

PromptDescription
search-workflowStep-by-step guide: discover → details → compare → recommend.
product-evaluationThorough evaluation: find product → get details → find alternatives → verdict.

Example queries

  • "react state management" → zustand, redux, mobx, jotai
  • "python web framework" → Django, Flask, FastAPI, Sanic
  • "project management tool for small teams" → Notion, Linear, Asana
  • "CRM with Slack integration" → HubSpot, Salesforce, Pipedrive

Use with agent frameworks

LangChain

python
from langchain_mcp_adapters.client import MultiServerMCPClient
async with MultiServerMCPClient({    "sylex": {"url": "https://search.sylex.ai/sse", "transport": "sse"}}) as client:    tools = client.get_tools()

OpenAI Agents SDK

python
from agents import Agentfrom agents.mcp import MCPServerSse
server = MCPServerSse(url="https://search.sylex.ai/sse")agent = Agent(name="shopper", mcp_servers=[server])

Microsoft AutoGen

python
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
params = SseServerParams(url="https://search.sylex.ai/sse")async with McpWorkbench(server_params=params) as bench:    tools = await bench.list_tools()

CrewAI

python
from crewai import Agentfrom crewai_tools import MCPTool
sylex_tools = MCPTool.from_sse(url="https://search.sylex.ai/sse")agent = Agent(role="researcher", tools=sylex_tools)

Architecture

  • Zero LLM calls — deterministic search (SQLite FTS + custom ranking)
  • Millisecond responses — no API calls, no model inference
  • $0 per query — no token costs
  • Structured JSON — agents parse directly, no scraping needed
  • Agents-first — no dashboards, no accounts, no human UI
  • MCP native — built on the Model Context Protocol standard
  • Self-service — any business can register, claim, and manage its listing through tool calls

Server metadata

PropertyValue
TransportSSE
Quality score100/100 (Smithery)
Version0.1.2
Tools11
Prompts2
Auth requiredNo
Config requiredNo

For agents

Server card available at:

GET https://search.sylex.ai/.well-known/mcp/server-card.json

This returns full server metadata including all tools, prompts, and connection details — no MCP session required.

Self-hosting

bash
pip install -r requirements.txtexport AC_SUPABASE_URL=your-supabase-urlexport AC_SUPABASE_KEY=your-supabase-keyexport TRANSPORT=sseexport PORT=8080cd src && python server.py

License

AGPL-3.0 — see LICENSE for details.

來源：README.md，提交 6786178

工具

0
SourceWeft 尚未讀取此伺服器的工具。

版本歷史

1
  1. v0.1.2最新Sep 16, 2026

評分

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