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sylex-search

sylex-search

Remote
github.com/MastadoonPrimeSearch4Updated 27w ago
Repository

About sylex-search

sylex-search is an MCP search server for AI agents that need to discover and evaluate products, services, and businesses. It returns ranked, structured results and supports comparison and listing management.

Key features

  1. 01Natural-language search with ranked results
  2. 02Retrieve full product details
  3. 03Compare two to five products
  4. 04Browse categories and find alternatives
  5. 05Register and manage listings

Use cases

  1. 01Find software matching a project need
  2. 02Compare products before an agent recommendation
  3. 03Discover service providers for a task
  4. 04Register or update a business listing

MCP support

Exposes search, comparison, category, feedback, and listing-management tools, plus two guided prompts, to MCP clients. Connects over SSE or through a local npm stdio proxy.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp-server-production-38c9.up.railway.app/sse
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Packages
npmsylex-search0.1.2

Tools

Details

From the project 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.):

{
  "mcpServers": {
    "sylex-search": {
      "url": "https://search.sylex.ai/sse"
    }
  }
}
Via Smithery
smithery mcp add mastadoonprime/sylex-search
Via npm (local stdio proxy)
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
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
from agents import Agent
from agents.mcp import MCPServerSse

server = MCPServerSse(url="https://search.sylex.ai/sse")
agent = Agent(name="shopper", mcp_servers=[server])
Microsoft AutoGen
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
from crewai import Agent
from 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

pip install -r requirements.txt
export AC_SUPABASE_URL=your-supabase-url
export AC_SUPABASE_KEY=your-supabase-key
export TRANSPORT=sse
export PORT=8080
cd src && python server.py

License

AGPL-3.0 — see LICENSE for details.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.