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 HANA MCP server.
Check if the connection to the HANA database is successful.
Display the current environment variables being used by the HANA MCP server.
Retrieve information about the current session including user, schema, and database.
Get a paginated list of schemas in the HANA database.
Retrieve a paginated list of tables within the current schema.
Provide detailed metadata about a specific table.
Analyze a table and provide a description or explanation of its structure and purpose.
Search for tables in the database based on specified criteria.
Search for columns in the database based on specified criteria.
Execute a SQL query against the HANA database with optional parameters for pagination.
Fetch the next page of results from a previously executed query.
List all constraints defined in the current schema.
Retrieve a list of foreign keys defined in the current schema.
Get a list of indexes defined for tables in the current schema.
Provide details about a specific index in the database.
List all views defined in the current schema.
Get detailed metadata about a specific view.
Retrieve a list of synonyms defined in the current schema.
List all privileges associated with the current user.
Fetch the DDL statement used to create a specific table or object.
List all stored procedures available in the current schema.
Provide detailed information about a specific stored procedure.
Retrieve a list of functions defined in the current schema.
Get detailed metadata about a specific function.
List all calculation views available in the current schema.
Retrieve a list of sequences defined in the current schema.
Get statistical information about a specific table.
Fetch a sample of data from a specific table.
Retrieve statistical information about specific columns in a table.
Get the execution plan for a specific SQL query.
Retrieve information about dependencies between database objects.
Get information about how data is partitioned in a specific table.
Retrieve a list of the most resource-intensive queries executed.
