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securityA
license-
qualityAccess to many public datasets right from your LLM application.
90
Python
MIT License
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Why this server?
This server provides access to many public datasets right from your LLM application, which would be helpful for data analysis involving publicly available datasets.
Why this server?
This server enables AI assistants to read from and write to Microsoft Excel files, supporting formats like xlsx, xlsm, xltx, and xltm, facilitating data upload and analysis within Excel.
Why this server?
Enables interaction with a MySQL database via JSON commands, supporting read-only queries and table information retrieval. This could be useful for uploading and analyzing data stored in a MySQL database.
Why this server?
A server that enables interaction with PostgreSQL, MySQL, MariaDB, or SQLite databases through Claude Desktop using natural language queries, useful for querying and analyzing data after uploading.
Why this server?
Provides access to the Australian Bureau of Statistics (ABS) Data API. This server allows AI assistants to query and analyze ABS statistical data, which is helpful if the data to be analyzed is Australian statistics.
Why this server?
A natural language interface that allows Claude to execute SQL queries on your local MySQL databases, enabling database interaction using natural language, enabling analysis of uploaded table data.
Why this server?
Enables AI models to interact with databases like PostgreSQL, MySQL, MariaDB, or SQLite through natural language queries, allowing analysis of uploaded tables.
Why this server?
A Model Context Protocol server that provides read-only access to MySQL databases, enabling LLMs to inspect database schemas and execute read-only queries, which is helpful for table data exploration and analysis.
Why this server?
An easy-to-use bridge that lets AI assistants like Claude and Cursor IDE directly query and explore Microsoft SQL Server databases. No coding experience required!
Why this server?
A server that enables interaction with PostgreSQL, MySQL, MariaDB, or SQLite databases through Claude Desktop using natural language queries. This would allow users to analyze tabular data through database interaction.