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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.
Why this server?
Allows interaction with OceanBase databases, which could involve data exploration and analysis depending on the data stored.
Why this server?
MCP Server for interacting with Cube semantic layers that provides tools for querying and describing data from Cube deployments.
Why this server?
Allows users to interact with Google Cloud Platform resources including BigQuery which is relevant for data analysis.
Why this server?
Enables LLMs to interact with Trino distributed SQL query engine, allowing direct querying and analysis of data.