Search FAQs

Question 1

What is 'Search' and what are its primary functions?

Accepted Answer

'Search' is a Node.js-based Model Context Protocol (MCP) server that provides robust web search capabilities via Google Search API and intelligent web page analysis (browser_visit) for AI-powered content summarization and evidence extraction.

Question 2

How does 'Search' handle intelligent content analysis and summarization?

Accepted Answer

It leverages AI models (LLMs) to perform intelligent analysis, extract key evidence, and summarize content from web pages. It prioritizes using the Jina Reader API for quality extraction, with a fallback to direct scraping, and supports concurrent URL processing.

Question 3

Which LLM providers are compatible with 'Search' for AI features?

Accepted Answer

'Search' is designed for multi-LLM provider compatibility, supporting major platforms like OpenAI, Azure OpenAI, local models (e.g., Ollama), and DeepSeek, allowing users flexibility in their AI integration.

Question 4

How can I integrate 'Search' with an AI client or automation workflow?

Accepted Answer

As an MCP-compliant server, 'Search' can be integrated via stdio communication or an HTTP gateway (on port 3001). This allows seamless connection with MCP clients like Claude Desktop or any system supporting the MCP standard protocol.

Question 5

What API configurations are essential for 'Search' to operate effectively?

Accepted Answer

For full functionality, you should configure a search API key (Serper API or Google Custom Search API) and an LLM API key (e.g., OpenAI, Azure, or local) for intelligent summarization and content analysis.

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