@MCP-Mirror
基本信息
Mirror of
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"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
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。
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.
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.
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).
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.
Data (model metadata, versions, and execution contexts) is stored in the connected SAP HANA Cloud Database, which acts as the persistent backing store.
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.
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.
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