Analyzes the Titanic dataset using a Model Context Protocol (MCP) server to enable data exploration and analysis with Claude.
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
01Includes a passenger search tool.
02Demonstrates the use of Model Context Protocol (MCP).
03Integrates with Claude for data analysis.
04Provides pre-calculated statistics on survival rates.
05Exposes Titanic dataset as MCP resources.
060 GitHub stars
Use Cases
01Searching for specific passengers by name.
02Exploring the correlation between social class and survival rate.
03Analyzing survival rates based on different passenger characteristics.
