Research Automation FAQs

Question 1

What types of information sources can Research Automation access?

Accepted Answer

It integrates multiple sources including web search (DuckDuckGo), encyclopedias (Wikipedia), and academic databases (arXiv for preprints, Crossref for over 150 million published papers).

Question 2

How does Research Automation support AI agents and automated tasks?

Accepted Answer

As an MCP server, it provides AI agents (e.g., via Claude Desktop) with tools for automated, parallel research using `research_topic`, fact-checking, and the ability to compile detailed research reports.

Question 3

What is Research Automation and what does it do?

Accepted Answer

Research Automation is an MCP server designed to empower autonomous AI agents with comprehensive research capabilities. It searches the web, encyclopedias, and academic sources to gather information and can generate research reports.

Question 4

Does Research Automation include fact-checking capabilities?

Accepted Answer

Yes, it features a built-in `fact_check` tool that allows AI agents to verify claims by cross-referencing information across multiple web and Wikipedia sources.

Question 5

Are API keys required to use Research Automation's sources?

Accepted Answer

No, a key benefit is that Research Automation operates entirely with free and open sources like DuckDuckGo, Wikipedia, arXiv, and Crossref, requiring no API keys for its research functions.

Research Automation

Research Automation

Key Features

Use Cases

Key Features

Use Cases