HANA Cloud ML Bridge
Summary
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.
Available Actions(15)
hana_show_config
Display current HANA configuration. Parameters: None
hana_test_connection
Test database connectivity. Parameters: None
hana_show_env_vars
Show environment variables (debug). Parameters: None
hana_list_schemas
List all database schemas. Parameters: None
hana_list_tables
List tables in a schema. Parameters: schema_name (optional)
hana_describe_table
Show table structure. Parameters: schema_name, table_name
hana_list_indexes
List indexes for a table. Parameters: schema_name, table_name
hana_describe_index
Show index details. Parameters: schema_name, table_name, index_name
hana_execute_query
Execute SQL queries. Parameters: query
hana_execute_parameterized_query
Execute parameterized queries. Parameters: query, parameters
hana_get_sample_data
Get sample data from table. Parameters: schema_name, table_name, limit
hana_count_rows
Count rows in a table. Parameters: schema_name, table_name
hana_get_system_info
Get system information. Parameters: None
hana_get_user_info
Get current user information. Parameters: None
hana_get_memory_usage
Get memory usage statistics. Parameters: None
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