🚢 TitanicAIAnalysis: Análisis de Datos con Claude y MCP

What is TitanicAIAnalysis?

TitanicAIAnalysis is an educational project that demonstrates how to create a Model Context Protocol (MCP) server to expose the famous Titanic dataset from Kaggle, allowing Claude to perform complex data analysis.

How to use TitanicAIAnalysis?

To use TitanicAIAnalysis, clone the repository, set up a virtual environment, install dependencies, and run the MCP server. You can then connect it to Claude Desktop for data analysis.

Key features of TitanicAIAnalysis?

• Exposes structured data (CSV of Titanic) and pre-calculated statistics.
• Provides specific functionalities like passenger search through MCP tools.
• Allows dynamic querying and analysis of Titanic data using LLMs.

Use cases of TitanicAIAnalysis?

1. Analyzing survival statistics of Titanic passengers.
2. Comparing survival rates between different classes of passengers.
3. Searching for specific passenger information.
4. Generating visualizations based on the dataset.

FAQ from TitanicAIAnalysis?

• What are the requirements to run TitanicAIAnalysis?

You need Python 3.10 or higher, Claude Desktop, and the Titanic.csv dataset.

• Can I run this project on any operating system?

Yes, it provides scripts for both Unix/MacOS and Windows.

• What kind of analyses can I perform?

You can perform various analyses, including survival rates, correlations, and more using the exposed data.