TitanicAIAnalysis creates an MCP server to expose Titanic dataset data and pre-calculated stats, enabling Claude to perform data analysis and retrieval on passenger information, survival rates, and correlations, facilitating dynamic data queries without manual file handling.
Added on:
Created by:
Apr 15 2025
TitanicAIAnalysis creates an MCP server to expose Titanic dataset data and pre-calculated stats, enabling Claude to perform data analysis and retrieval on passenger information, survival rates, and correlations, facilitating dynamic data queries without manual file handling.
Added on:
Created by:
Apr 15 2025
IzarLabs
Featured
What is TitanicAIAnalysis?
TitanicAIAnalysis is a project that sets up a Model Context Protocol (MCP) server which provides structured access to the Titanic dataset. It exposes resources like the full dataset and statistical summaries and offers tools such as passenger search functionalities. This setup allows AI models like Claude to query, analyze, and generate insights from the Titanic data efficiently, supporting ad-hoc analytics, statistical comparisons, and visualizations. It simplifies working with structured data through a conversational interface, making complex data analysis accessible without manual data manipulation.
Who will use TitanicAIAnalysis?
- Data analysts
- Data scientists
- AI developers
- Educational institutions
- Kaggle enthusiasts
How to use the TitanicAIAnalysis?
- Step1: Clone the repository from GitHub
- Step2: Set up the virtual environment and install dependencies
- Step3: Ensure Titanic.csv is in the project directory
- Step4: Run the main.py script to start the server
- Step5: Connect Claude or other LLMs to the MCP server via configuration
- Step6: Use structured resource URLs and tools for data querying and analysis
TitanicAIAnalysis's Core Features & Benefits
The Core Features
- Access Titanic dataset as a resource
- Retrieve pre-calculated statistics
- Search for passengers by name or other attributes
The Benefits
- Enables dynamic data querying for AI models
- Simplifies data analysis workflows
- Supports ad-hoc questions and statistical insights
TitanicAIAnalysis's Main Use Cases & Applications
- Performing survival analysis and statistics
- Passenger information retrieval
- Comparative analysis of classes and survival rates
- Educational demonstrations of data structuring
- Supporting AI-based data exploration
FAQs of TitanicAIAnalysis
Developer
- IzarLabs
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