MetaSearchMCP: MetaSearchMCP aggregates results from multiple search providers, normalizes them into a stable JSON schema, and exposes both an HTTP API and an MCP server for agent tooling. It is designed for machine-consumable workflows, featuring concurrent aggregation, deduplication, and provider selection. This provides a structured search API alternative to browser-first metasearch projects.; fastmcp: FastMCP is a standard framework for building Model Context Protocol (MCP) applications, which connect LLMs to tools and data. It simplifies the process by automatically generating schemas, validation, and documentation for tools, and managing transport negotiation and authentication for server connections. FastMCP offers a comprehensive solution for developing, deploying, and scaling MCP-powered systems.
Integrate search into AI agents and LLM workflows via MCP
Building LLM applications that interact with custom tools and data sources