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HANA Cloud MCP Server

@HatriGt

Repository

Basic information

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Other

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stdio

Author

HatriGt

About HANA Cloud MCP Server

Model Context Server Protocol for your HANA DB

HANA Cloud MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "hana-mcp-server": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

HANA Cloud MCP Server tools

Tool list not available yet

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Overview

What is HANA Cloud MCP Server?

A Model Context Protocol (MCP) server implementation for SAP HANA Cloud DB integration with Cursor IDE. It provides a standardized interface for managing ML models, execution contexts, and communication protocols between applications and the HANA Cloud database.

How to use HANA Cloud MCP Server?

Clone the repository, create a virtual environment, install dependencies with pip install -r requirements.txt, then run python setup.py and follow the prompts to configure your HANA Cloud connection and server settings. Configuration is managed via environment variables set in a .env file.

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

  • Manage and version machine learning models in SAP HANA Cloud
  • Configure and deploy model execution contexts for different environments
  • Enable standardized communication between AI applications and HANA Cloud
  • Integrate MCP-capable IDEs like Cursor with HANA Cloud DB for ML workflows

Frequently asked questions

1

What are the prerequisites for HANA Cloud MCP Server?

Python 3.8+, an SAP HANA Cloud Database, and the following Python packages: Flask, HDBCLI (SAP HANA Client for Python), and Pandas.

2

How do I configure the server’s connection to HANA Cloud?

Set the environment variables `HANA_HOST`, `HANA_PORT`, `HANA_USER`, and `HANA_PASSWORD` in a `.env` file.

3

What is the three-layer architecture of HANA Cloud MCP Server?

The server has a **Model Layer** (manages model definitions, versions, and metadata), a **Context Layer** (configures execution environments and runtime parameters), and a **Protocol Layer** (handles communication between applications and models).

4

Does HANA Cloud MCP Server require a specific runtime?

Yes, Python 3.8+ is required, and the server runs on Flask.

5

Where does the server store model data and configurations?

Model metadata, versions, execution contexts, and communication protocols are managed internally and stored via the HANA Cloud DB integration.

Comments

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