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
- 01Natural-language search with ranked results
- 02Retrieve full product details
- 03Compare two to five products
- 04Browse categories and find alternatives
- 05Register and manage listings
Use cases
- 01Find software matching a project need
- 02Compare products before an agent recommendation
- 03Discover service providers for a task
- 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.
https://mcp-server-production-38c9.up.railway.app/sseclaude mcp add --transport sse mastadoonprime-sylex-search https://mcp-server-production-38c9.up.railway.app/sse{"mcpServers":{"mastadoonprime-sylex-search":{"type":"sse","url":"https://mcp-server-production-38c9.up.railway.app/sse"}}}Open in Cursor{"servers":{"mastadoonprime-sylex-search":{"type":"sse","url":"https://mcp-server-production-38c9.up.railway.app/sse"}}}Open in VS Code{"mcpServers":{"mastadoonprime-sylex-search":{"type":"sse","url":"https://mcp-server-production-38c9.up.railway.app/sse"}}}{"mcpServers":{"mastadoonprime-sylex-search":{"serverUrl":"https://mcp-server-production-38c9.up.railway.app/sse"}}}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.
Tools
Details
From the project READMESylex Search — Universal Search for AI Agents
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:
| Source | Count | What |
|---|---|---|
| npm | ~3,000 | JavaScript/TypeScript packages |
| crates.io | ~3,000 | Rust crates |
| Wikidata | ~2,800 | Products, companies, protocols |
| MCP servers | ~2,100 | MCP tools from awesome-mcp-servers |
| GitHub | ~1,900 | Popular repositories |
| PyPI | ~1,000 | Python packages |
| SaaS | ~100 | SaaS 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
| Tool | Description |
|---|---|
search.discover | Search the index by natural language query. Returns ranked results with fit scores. |
search.details | Get full product data by ID — pricing, features, integrations, reviews. |
search.compare | Side-by-side comparison of 2-5 products. |
search.categories | Browse all categories and subcategories with counts. |
search.alternatives | Find similar products scored by relevance. |
search.feedback | Report issues or suggest improvements. |
Listing Management
| Tool | Description |
|---|---|
manage.register | Add a new product or business to the index. Returns an owner token. |
manage.claim | Verify ownership of an existing listing via URL proof. |
manage.update | Update listing details (description, pricing, category, etc.). |
manage.list_mcp | Add MCP connection config so other agents can discover and connect. |
Prompts
| Prompt | Description |
|---|---|
search-workflow | Step-by-step guide: discover → details → compare → recommend. |
product-evaluation | Thorough 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
| Property | Value |
|---|---|
| Transport | SSE |
| Quality score | 100/100 (Smithery) |
| Version | 0.1.2 |
| Tools | 11 |
| Prompts | 2 |
| Auth required | No |
| Config required | No |
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
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.