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HANA Cloud MCP Server

by HatriGt
GitHub
Python
  • Linux
  • Apple
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Integrations

  • 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

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:

  1. Model Layer: Manages model definitions, versions, and metadata
  2. Context Layer: Configures execution environments and runtime parameters
  3. 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

  1. Clone the repository:
    git clone https://github.com/yourusername/hana-mcp-server.git cd hana-mcp-server
  2. 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
  3. Run the setup script:
    python setup.py
    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:

# HANA Cloud Connection HANA_HOST=your-hana-host.hanacloud.ondemand.com HANA_PORT=443 HANA_USER=DBADMIN HANA_PASSWORD=

This server cannot be installed

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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.

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.

  1. Overview
    1. Architecture
      1. Prerequisites
        1. Installation
          1. Configuration

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