StatSource Analytics
Integrates with statistical and machine learning tools to perform data analysis, calculations, and time-series forecasting on user data from various sources including CSV files and databases.
About
The StatSource MCP server acts as a middleware between clients (like Claude Desktop) and the StatSource analytics API, enabling AI assistants to perform statistical operations and ML predictions on user data. Built with Python using the FastMCP framework, it provides tools for calculating various statistics (mean, median, etc.) on specified data columns and generating time-series forecasts, with support for multiple data sources including CSV files and databases. The implementation includes robust input validation, error handling, and security measures to prevent misuse of database connection strings, making it particularly valuable for users who need to analyze data or generate predictions within AI assistant conversations without switching to separate analytics tools.
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