HANA Cloud MCP Server provides a bridge between SAP HANA Cloud databases and Cursor IDE for machine learning operations. It implements a three-layer architecture (Models, Contexts, and Protocols) that enables managing predictive models, execution contexts, and standardized communication protocols through a RESTful API. The server handles both inference and training operations, supports SQL and Python-based protocol handlers, and includes features for health monitoring and database schema initialization, making it ideal for organizations using HANA Cloud for data science workflows.
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Retrieve a list of all schemas present in the connected HANA database.
Fetch and display all tables found within the SYSTEM schema of the HANA database.
Provide detailed information about the structure of the CUSTOMERS table, including its columns and data types.
Run a SQL query to select and return the first 10 entries from the SYSTEM.TABLES table.
Obtain a sample of data from the ORDERS table to analyze its contents.
Execute a command to count the total number of rows in the CUSTOMERS table.