Web Research FAQs

Question 1

Can I perform deep, multi-step research with this tool?

Accepted Answer

Absolutely. The `research_topic` tool is specifically designed for deep, multi-step research. In a single call, it executes a full workflow: searching, fetching relevant pages, scoring their relevance, deduplicating content, extracting key facts, and synthesizing the information on your specified topic.

Question 2

What is the pricing model for Web Research?

Accepted Answer

Web Research operates on a transparent pay-per-use model. You are charged only for individual tool calls (`web_search`, `fetch_page`, `research_topic`), with no subscription fees or idle charges, ensuring cost-efficiency.

Question 3

How does Web Research ensure clean and relevant information extraction?

Accepted Answer

The `fetch_page` tool excels at extracting clean markdown from any URL by stripping out ads, navigation, and boilerplate. For multi-step research, the `research_topic` tool further refines results by scoring relevance, deduplicating sources, and extracting key facts.

Question 4

What is Web Research MCP and what does it do?

Accepted Answer

Web Research MCP is a tool designed for AI agents that need to search the web, fetch clean page content, and synthesize research findings efficiently. It consolidates these capabilities into a single, streamlined process for comprehensive data collection.

Question 5

What search capabilities does Web Research offer?

Accepted Answer

Web Research utilizes the Brave Search API for enhanced search results and freshness filtering (optional but recommended), with DuckDuckGo serving as a reliable fallback. It provides titles, URLs, and snippets, and supports advanced queries like freshness filters.

Web Research

Web Research

主要功能

使用案例

主要功能

使用案例