what is HANA Cloud MCP Server?
HANA Cloud MCP Server is an implementation of the Model Context Protocol (MCP) designed for integrating SAP HANA Cloud Database with machine learning operations.
how to use HANA Cloud MCP Server?
To use the HANA Cloud MCP Server, clone the repository, set up a virtual environment, install the required dependencies, and configure your HANA Cloud connection using environment variables.
key features of HANA Cloud MCP Server?
- 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.
use cases of HANA Cloud MCP Server?
- Managing and deploying machine learning models in SAP HANA Cloud.
- Facilitating communication between applications and ML models.
- Configuring execution environments for various machine learning tasks.
FAQ from HANA Cloud MCP Server?
- What are the prerequisites for using HANA Cloud MCP Server?
You need Python 3.8+, SAP HANA Cloud Database, Flask, HDBCLI, and Pandas.
- How do I install HANA Cloud MCP Server?
Clone the repository, create a virtual environment, install dependencies, and run the setup script.
- Is there support for different execution contexts?
Yes, the server allows configuration of different execution environments for models.
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
┌───────────────────────────────────────────────────────┐
│ CLIENT APPLICATIONS │
└───────────────────────────▲───────────────────────────┘
│
│ REST API
│
┌───────────────────────────▼───────────────────────────┐
│ MCP SERVER │
│ │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ MODEL API │ │ CONTEXT API │ │PROTOCOL API │ │
│ └──────┬──────┘ └──────┬──────┘ └──────┬──────┘ │
│ │ │ │ │
│ ┌──────▼──────┐ ┌──────▼──────┐ ┌──────▼──────┐ │
│ │ MODEL │ │ CONTEXT │ │ PROTOCOL │ │
│ │ MANAGER │ │ MANAGER │ │ MANAGER │ │
│ └──────┬──────┘ └──────┬──────┘ └──────┬──────┘ │
│ │ │ │ │
└─────────┼──────────────────┼──────────────────┼────────┘
│ │ │
┌─────────▼──────────────────▼──────────────────▼────────┐
│ HANA CLOUD DB │
└───────────────────────────────────────────────────────┘
Prerequisites
- Python 3.8+
- SAP HANA Cloud Database
- Flask
- HDBCLI (SAP HANA Client for Python)
- Pandas
Installation
-
Clone the repository:
git clone https://github.com/yourusername/hana-mcp-server.git cd hana-mcp-server -
Create a virtual environment and install dependencies:
python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate pip install -r requirements.txt -
Run the setup script:
python setup.pyFollow 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:
# HANA Cloud Connection
HANA_HOST=your-hana-host.hanacloud.ondemand.com
HANA_PORT=443
HANA_USER=DBADMIN
HANA_PASSWORD=
