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qualityEnables LLMs to perform statistical analysis and generate ML predictions on user data from databases or CSV files through a Model Context Protocol server.
Last updated 8 months ago
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Why this server?
This server enables LLMs to perform statistical analysis on user data from databases or CSV files.
Why this server?
Provides tools for interacting with databases, including PostgreSQL, DuckDB, and Google Cloud Storage Parquet files, all relevant for data analysis.
Why this server?
An open-source MCP server connecting to SQL databases, CSV, Parquet files, with tools for executing SQL queries and generating data visualizations.
Why this server?
Specifically designed for working with Parquet files, a columnar storage format commonly used in data analysis.
Why this server?
Enables users to upload retail data, analyze trends, optimize inventory, and forecast sales using AI-powered insights.
Why this server?
Provides an interface to access Google Analytics Data API, allowing users to retrieve reports and realtime data from Google Analytics 4 properties.