Websearch FAQs

Question 1

How can I integrate Websearch into my AI workflows?

Accepted Answer

Websearch provides dual interfaces: an MCP server with a JSON-RPC 2.0 API for protocol-based integration into agentic systems, and an LLM-friendly CLI for direct invocation and easy scripting.

Question 2

Is Websearch suitable for LLMs and AI agents?

Accepted Answer

Absolutely. Websearch is built with AI agents and LLMs in mind, offering a CLI that outputs LLM-friendly text and a robust MCP server for seamless integration into sophisticated agentic workflows, enhancing their ability to interact with the web.

Question 3

What is Websearch?

Accepted Answer

Websearch is an advanced web search and content fetching tool specifically designed for AI agents. It provides multi-engine search capabilities and versatile ways to gather internet information, available as both an MCP server and an LLM-friendly CLI.

Question 4

Which search engines does Websearch support?

Accepted Answer

Websearch supports multiple search engines, including DuckDuckGo and Tavily. You can specify which engine to use per query to get the most relevant results for your agent's needs.

Question 5

How does Websearch fetch web page content?

Accepted Answer

Websearch offers versatile content fetching methods. It can retrieve full page content using direct HTTP requests or through CDP (Chrome DevTools Protocol) for more complex, JavaScript-rendered pages.

Websearch

Websearch

Características Principales

Casos de Uso

Características Principales

Casos de Uso