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Aggregate web, academic, code, and finance search for AI agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MetaSearchMCP" yet — see the docs or source repo.
Use MetaSearchMCP to search for "RAG evaluation methods" across web, academic, and code sources, then return the top 10 results grouped by source in a unified JSON format.
A unified, source-grouped result set with fields like title, link, and summary.
Use MetaSearchMCP to retrieve the latest financial news and market information about Tesla, format it as unified JSON, and extract the five most important findings.
Standardized JSON containing financial search results plus a concise list of key findings.
I am building an AI agent. Explain how to use MetaSearchMCP to unify web, academic, and code search, and provide an example JSON output suitable for agent consumption.
An integration guide, calling recommendations, and a clearly structured JSON example.
Aggregate multi-engine search results and fetch pages as Markdown privately.
Run dual-path web searches with source validation inside Claude Code.
Enable self-hosted deep web research for AI agents without API keys.
Aggregate authoritative web search and browser tools for efficient online research.
Enable web search and result retrieval for MCP-compatible AI clients.
Connects a self-hosted SearXNG instance for customizable web search via MCP.