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.