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qualityA Model Context Protocol server that integrates with Cursor IDE, providing real-time communication, modern web dashboards, and extensible tools via SSE and WebSocket connections.
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The SAP HANA MCP Server enables AI agents and development tools to securely interact with SAP HANA databases through the Model Context Protocol (MCP).
Database Operations:
Execute custom SQL queries, including parameterized queries for prepared statements
Retrieve sample data and count rows in tables
Test database connectivity and view configuration settings
Schema Management:
List all schemas, tables within schemas, and describe table structures
List and describe indexes for tables
Explore database schema through natural language commands
System Administration:
Monitor memory usage statistics and system information
Get current database user information
Debug environment variables
Integration & Security:
Seamlessly integrates with Claude Desktop, VSCode extensions, and custom AI applications
Features enterprise-grade security with SSL/TLS support and secure credential management
Provides both command-line interface and React-based web UI
Uses JSON-RPC 2.0 with modular architecture for easy extension
Uses .env files for configuration management of server settings and connection parameters
Uses Flask to implement the REST API layer of the MCP server architecture
Utilizes pandas as a prerequisite library, likely for data manipulation and analysis within the model execution context
Built on Python 3.8+ as the core programming language for the server implementation
Provides integration with SAP HANA Cloud Database, allowing for machine learning operations and model management directly with the SAP HANA Cloud environment
HANA Cloud MCP Server
A Model Context Protocol (MCP) server implementation for SAP HANA Cloud DB integration with Cursor IDE.
Overview
This server implements the Model Context Protocol (MCP) pattern for machine learning operations with SAP HANA Cloud. The MCP server provides a standardized interface for managing ML models, execution contexts, and communication protocols between applications and the HANA Cloud database.
Key features:
- Model Registry: Central repository for model metadata and versioning
- Context Management: Configure execution environments for models
- Protocol Adapters: Standardized communication between models and applications
- HANA Cloud Integration: Optimized for SAP HANA Cloud Database
- Cursor IDE Support: Seamless integration with Cursor IDE
Architecture
The MCP server is built on a three-layer architecture:
- Model Layer: Manages model definitions, versions, and metadata
- Context Layer: Configures execution environments and runtime parameters
- Protocol Layer: Handles communication between applications and models
Prerequisites
- Python 3.8+
- SAP HANA Cloud Database
- Flask
- HDBCLI (SAP HANA Client for Python)
- Pandas
Installation
- Clone the repository:
- Create a virtual environment and install dependencies:
- Run the setup script:Follow the prompts to configure your HANA Cloud connection and server settings.
Configuration
The server uses environment variables for configuration. These can be set in a .env file:
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Tools
Enables integration between SAP HANA Cloud Database and Cursor IDE through the Model Context Protocol, providing standardized interfaces for managing ML models and execution contexts.
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