TitanicAIAnalysis

TitanicAIAnalysis

3.1
research_and_data

If you are the rightful owner of TitanicAIAnalysis and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

TitanicAIAnalysis is a project that demonstrates how to use the Model Context Protocol (MCP) to create servers that expose structured data for analysis with language models like Claude, using the Titanic dataset.

TitanicAIAnalysis is an educational project that showcases the creation of an MCP (Model Context Protocol) server to expose the famous Titanic dataset from Kaggle. This allows Claude to perform complex data analysis through MCP Resources and Tools. The project provides structured data and pre-calculated statistics as resources, and specific functionalities like passenger search as tools. This approach enables querying and analyzing structured data with the power of LLMs without manually sending files.

Features

  • Exposes structured data and pre-calculated statistics as MCP Resources.
  • Provides specific functionalities like passenger search as MCP Tools.
  • Enables querying and analyzing structured data with LLMs.
  • Integrates with Claude Desktop for seamless data analysis.
  • Supports dynamic analysis and ad-hoc queries on the Titanic dataset.

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