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 configuration.
Test the connection to the SAP HANA database.
Display the current environment variables.
Retrieve information about the current session including user, schema, and database.
Get a paginated list of schemas in the database.
Retrieve a list of tables within a schema.
Get metadata information about a specific table.
Provide a detailed explanation of a table's structure and its columns.
Search for tables based on specific criteria.
Search for columns based on specific criteria.
Execute a parameterized SQL query with optional row, column, and cell limits.
Retrieve the next page of results from a previous query execution.
List all constraints defined in the database.
Retrieve a list of foreign keys in the database.
Get a list of indexes defined on tables.
Provide details about a specific index.
Retrieve a list of views in the database.
Get metadata information about a specific view.
List all synonyms defined in the database.
Get a list of privileges assigned to users.
Retrieve the Data Definition Language (DDL) statement for a specific database object.
List all stored procedures in the database.
Get details about a specific stored procedure.
Retrieve a list of functions in the database.
Get details about a specific function.
List all calculation views in the database.
Retrieve a list of sequences in the database.
Get statistics about a specific table.
Retrieve sample data from a specific table.
Get statistics about specific columns in a table.
Retrieve the execution plan for a specific SQL query.
Get a graph of object dependencies within the database.
Retrieve information about table partitions.
Get a list of the most resource-intensive queries executed.
