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Aggregate multi-engine search results and fetch pages as Markdown privately.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "@caikiji/mcp-search" yet — see the docs or source repo.
Use the search tool to look up "open-source vector database comparison 2024", aggregate results from multiple search engines, fetch the top 5 relevant pages as Markdown, and produce a competitor comparison summary.
A competitor research summary with aggregated search results, extracted page content, and key differences.
Search for "Model Context Protocol best practices", fetch the most relevant pages as Markdown, and organize them into context material for follow-up Q&A.
Structured web context including search results, page extracts, and key points for model use.
Use the private search service to search for "latest updates on the EU AI Act", compare results from multiple search engines, fetch source pages, and prepare a fact-checking brief.
A fact-checking brief based on multiple search sources and original page content for accuracy validation.
Enable self-hosted deep web research for AI agents without API keys.
Aggregate web, academic, code, and finance search for AI agents.
Search the web and read single or multiple pages efficiently.
Enable agents to search synced code repositories with fast AI-powered retrieval.
Fetch real web pages and search across engines for agent workflows.
Lets MCP clients search the web and fetch pages without API keys.