TitanicAIAnalysis FAQs

Question 1

What are the key features of TitanicAIAnalysis?

Accepted Answer

It exposes the Titanic dataset as MCP resources, provides pre-calculated statistics, includes a passenger search tool, integrates seamlessly with Claude, and demonstrates MCP usage.

Question 2

What is TitanicAIAnalysis?

Accepted Answer

It's a Python-based tool that uses the Model Context Protocol (MCP) to expose the Titanic dataset to Claude, enabling data analysis and exploration.

Question 3

How do I install and run TitanicAIAnalysis?

Accepted Answer

Clone the repository, set up a virtual environment, install dependencies, and either run the server directly or configure it within Claude Desktop using the provided instructions.

Question 4

What can I do with TitanicAIAnalysis and Claude?

Accepted Answer

You can explore the Titanic dataset, analyze survival rates, search for passengers, and ask Claude complex questions about the data, all without manually uploading files.

Question 5

What is Model Context Protocol (MCP)?

Accepted Answer

MCP allows tools like TitanicAIAnalysis to provide structured data and functionalities to Large Language Models (LLMs) like Claude, making data analysis more efficient.

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