gefsikatsinelou/MetaSearchMCP — Open-source metasearch backend, MCP server, and AI search API for LLM agents.

Description and use

MetaSearchMCP is an open‑source metasearch backend built with Python FastAPI that aggregates results from multiple search providers—including Google via SerpBase and Serper—and delivers them as structured JSON for LLM agents. It features provider fallback, result deduplication, and a SearXNG‑style architecture optimized for AI‑driven workflows, serving as both an MCP server and an AI‑search API.

Problem

gefsikatsinelou/MetaSearchMCP helps connect AI assistants to real tools and data through a standard protocol.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

• connect AI agents to tools
• ship Model Context Protocol servers
• standardize integrations

Evidence

Open-source metasearch backend, MCP server, and AI search API for LLM agents. Python FastAPI search gateway with Google search via SerpBase and Serper, multi-engine search aggregation, structured JSON output, provider fallback, deduplication, and SearXNG alternative architecture for agent workflows.

Source