HANA Cloud MCP Server

Name: HANA Cloud MCP Server
Author: MCP-Mirror

@MCP-Mirror

代码仓库

关于 HANA Cloud MCP Server

Mirror of

#mcp #hana #cloud #server #machine-learning

基本信息

分类

其他

运行时

python

传输方式

stdio

发布者

MCP-Mirror

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is HANA Cloud MCP Server?

The HANA Cloud MCP Server is a Model Context Protocol (MCP) server implementation for SAP HANA Cloud database integration. It provides a standardized interface for managing machine learning models, execution contexts, and communication protocols, and is designed for use with Cursor IDE.

How to use HANA Cloud MCP Server?

Install prerequisites (Python 3.8+, SAP HANA Cloud Database, Flask, HDBCLI, Pandas), then clone the repository, create a virtual environment, install dependencies with pip install -r requirements.txt, and run python setup.py to configure the connection. Configure connection details via environment variables in a .env file (HANA_HOST, HANA_PORT, HANA_USER, HANA_PASSWORD) and start the server.

Key features of HANA Cloud MCP Server

Model Registry for model metadata and versioning
Context Management for execution environment configuration
Protocol Adapters for standardized model-application communication
Optimized integration with SAP HANA Cloud Database
Seamless integration with Cursor IDE

Use cases of HANA Cloud MCP Server

Manage and version machine learning models stored in SAP HANA Cloud
Configure different execution contexts for deploying models in production or testing
Enable standardized communication between applications and HANA Cloud models via REST API
Integrate ML model operations directly within Cursor IDE workflows

FAQ from HANA Cloud MCP Server

What is the architecture of the HANA Cloud MCP Server?

The server uses a three-layer architecture: the Model Layer (for model definitions and metadata), the Context Layer (for execution environments and runtime parameters), and the Protocol Layer (for handling REST API communication between applications and models).

What are the runtime requirements?

Python 3.8+ and an SAP HANA Cloud Database instance are required, along with Flask, HDBCLI (SAP HANA Client for Python), and Pandas as Python dependencies.

Where does the data live?

Data (model metadata, versions, and execution contexts) is stored in the connected SAP HANA Cloud Database, which acts as the persistent backing store.

How is authentication handled?

Authentication to the HANA Cloud database is configured via environment variables (HANA_USER and HANA_PASSWORD) set in a .env file, which the server uses to connect. No additional authentication mechanisms are described.

What transport does the server use?

The server exposes a REST API for client applications to interact with the Model, Context, and Protocol layers. No other transports (e.g., WebSocket, gRPC) are mentioned.