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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Highlight AIVerify connectivity and inspect the current configuration.
Test the connection to the SAP HANA database.
Display the environment variables currently in use.
Retrieve information about the current session including user, schema, and database.
List all schemas in the connected SAP HANA database.
List all tables in the specified schema.
Get detailed information about a specific table.
Provide an explanation of the table structure and its semantics.
Search for tables across schemas based on a query.
Search for columns in tables across schemas based on a query.
Execute a parameterized SQL query with optional limits and paging.
Retrieve the next page of results from a paginated query.
List all constraints defined in the database.
List all foreign keys in the specified schema.
List all indexes in the specified schema.
Get detailed information about a specific index.
List all views in the specified schema.
Get detailed information about a specific view.
List all synonyms in the specified schema.
List all privileges associated with the current user.
Retrieve the DDL statement for creating a specified object.
List all stored procedures in the database.
Get detailed information about a specific stored procedure.
List all functions available in the database.
Get detailed information about a specific function.
List all calculation views in the database.
List all sequences in the database.
Retrieve statistical information about a specified table.
Get a sample of rows from a specified table.
Retrieve statistical information about columns in a specified table.
Get the query execution plan for a specified SQL statement.
Retrieve dependencies for a specified object.
Get information about table partitions.
List the most expensive queries executed in the database.
