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 configuration of the SAP HANA MCP Server.
Test the connection to the SAP HANA database.
Display the current environment variables used by the server.
Retrieve information about the current user, schema, database, and version.
Get a paginated list of schemas in the SAP HANA database.
Retrieve a paginated list of tables in the current schema.
Get detailed metadata about a specific table.
Provide an explanation of table structure and semantics.
Search for tables in the database based on a specified query.
Search for columns in the database based on a specified query.
Execute a parameterized SQL query with optional row, column, and cell limits.
Retrieve the next page of results for a previously executed query.
List all constraints in the current schema.
Get a list of foreign keys defined in the current schema.
List all indexes in the current schema.
Provide detailed information about a specific index.
Get a list of views in the current schema.
Provide detailed metadata about a specific view.
List all synonyms in the current schema.
Get a list of privileges associated with the current user.
Retrieve the DDL statement for creating an object.
List all stored procedures in the current schema.
Get detailed information about a specific stored procedure.
List all functions in the current schema.
Provide detailed information about a specific function.
List all calculation views in the current schema.
Get a list of sequences in the current schema.
Retrieve statistics about a specific table.
Get a sample of data from a specific table.
Retrieve statistics about a specific column.
Get the execution plan for a specific query.
Retrieve dependency information for a specific database object.
Get information about partitions for a specific table.
Retrieve a list of the most expensive queries executed in the database.
