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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.
Search the web and read single or multiple pages efficiently.
Access multiple search, AI, and extraction services through one unified interface.
Aggregate authoritative web search and browser tools for efficient online research.
Run real-time web searches and fetch page content through MCP.
Enables AI to search the web and gather research-ready information efficiently.