MastadoonPrime/sylex-search

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

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.