MastadoonPrime/sylex-search
by Various
Universal search engine for AI agents. Discover products, services, and businesses across every category via MCP.
MCP
MastadoonPrime/sylex-search
Added 1 June 2026
Overview
Sylex-search is a universal search engine for AI agents that discovers products, services, and businesses across categories. It uses the Model Context Protocol (MCP) to integrate with agent workflows. The tool is written in Python and available as open source.
Best for
Best for
Developers experimenting with MCP-based agent search who need a lightweight, open-source query layer
Use cases
- Enable an AI agent to find and retrieve product listings across multiple categories
- Build a service discovery layer for autonomous business research
- Provide real-time search results for an MCP-compatible agent pipeline
How to use
Install
npx sylex-search Tools exposed
search-workflowproduct-evaluation
Tested with
Claude Desktop, Claude Code, Cursor, ChatGPT
Example client config
{\n "mcpServers": {\n "sylex-search": {\n "url": "https://search.sylex.ai/sse"\n }\n }\n} Notes
Sylex-search is a universal search engine for AI agents that discovers products, services, and businesses across categories. It uses the Model Context Protocol (MCP) to integrate with agent workflows. The tool is written in Python and available as open source.
3 stars on GitHub. Last updated 2026-04-24. Licensed AGPL-3.0.
Use cases
- Enable an AI agent to find and retrieve product listings across multiple categories
- Build a service discovery layer for autonomous business research
- Provide real-time search results for an MCP-compatible agent pipeline
Pros
- Open source and written in Python, easy to audit and extend
- Designed specifically for agent integration via MCP, not a general web scraper
- Aims to cover all categories in a single query interface
Cons
- Very low community adoption (3 GitHub stars) suggests limited reliability and testing
- Depends on MCP, which is still a niche protocol not widely used by most agent frameworks
- Actual search coverage and data freshness are unverified due to minimal documentation
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Open source and written in Python, easy to audit and extend
- Designed specifically for agent integration via MCP, not a general web scraper
- Aims to cover all categories in a single query interface
Cons
- Very low community adoption (3 GitHub stars) suggests limited reliability and testing
- Depends on MCP, which is still a niche protocol not widely used by most agent frameworks
- Actual search coverage and data freshness are unverified due to minimal documentation
Pairs with
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