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TitanicAIAnalysis

CreatedIzarLabs

Analyzes the Titanic dataset using a Model Context Protocol (MCP) server to enable data exploration and analysis with Claude.

About

TitanicAIAnalysis is an educational project showcasing how to build a Model Context Protocol (MCP) server for the Titanic dataset, enabling Claude to perform complex data analysis. It exposes structured data (the Titanic CSV) and pre-calculated statistics as resources and provides tools like passenger search, allowing for data querying and analysis with LLMs without manual file uploads.

Key Features

  • Includes a passenger search tool.
  • Demonstrates the use of Model Context Protocol (MCP).
  • Integrates with Claude for data analysis.
  • Provides pre-calculated statistics on survival rates.
  • Exposes Titanic dataset as MCP resources.
  • 0 GitHub stars

Use Cases

  • Searching for specific passengers by name.
  • Exploring the correlation between social class and survival rate.
  • Analyzing survival rates based on different passenger characteristics.
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