Web Search FAQs

Question 1

What types of web interactions can LLMs perform using Web Search?

Accepted Answer

LLMs can utilize 5 distinct MCP tools: `search_web` for queries, `extract_url` for content from specific URLs, `open_result` to extract from a ranked search result, `fetch_search_and_extract` for multi-result extraction, and `health_check`.

Question 2

What is Web Search and its primary purpose?

Accepted Answer

Web Search is a production-grade Model Context Protocol (MCP) server specifically designed to equip Large Language Models (LLMs) with real-time web search functionality and high-fidelity content extraction capabilities.

Question 3

Does it support scraping Google Search Results, and how?

Accepted Answer

Yes, Web Search includes robust Google SERP scraping with built-in anti-detection features like User-Agent rotation, random delays, and block detection, providing reliable access to search engine results.

Question 4

What output formats are available for extracted web content?

Accepted Answer

Extracted content can be delivered in three versatile formats: plain text, Markdown, or sanitized HTML, allowing LLMs and other applications to consume the data in their preferred structure.

Question 5

How does Web Search ensure high-quality content extraction?

Accepted Answer

It leverages Electron BrowserWindow for authentic Chromium rendering, enabling it to process dynamic, JavaScript-heavy pages. A 5-stage extraction pipeline, incorporating Mozilla Readability and quality scoring (0-100), guarantees high-fidelity results with pre/post cleanup.

Web Search

Web Search

Key Features

Use Cases

Key Features

Use Cases