Agentic Search Example FAQs

Question 1

What are the main functions AI agents can use with this tool?

Accepted Answer

AI agents can utilize two primary functions: `search(query)` to perform a website search and return results, and `get_page(path)` to retrieve the full content of a specified webpage, both delivering output in Markdown.

Question 2

Can I configure which websites my AI agents search and retrieve from?

Accepted Answer

Yes, the tool is fully configurable. You can easily specify target websites by changing the `url_base` and `search_url_base` parameters in the `main.py` file.

Question 3

In what format does Agentic Search Example retrieve content?

Accepted Answer

All retrieved content, including search results and full webpage content, is provided in Markdown format, optimized for easy processing by AI agents.

Question 4

What is Agentic Search Example?

Accepted Answer

Agentic Search Example is an MCP server that enables AI agents to efficiently search and retrieve content from websites, delivering structured information for agentic workflows.

Question 5

Does Agentic Search Example support both local and remote deployment?

Accepted Answer

Absolutely. It's designed for flexibility, supporting local execution with tools like MCP Inspector for testing, as well as remote deployment on various compute or container platforms.

Agentic Search Example

Características Principales

Casos de Uso

Agentic Search Example

Características Principales

Casos de Uso