What cloud provider does the server work with?
It is built exclusively on Huawei Cloud services.
@HuaweiCloudDeveloper
基本信息
Provide different cloud products MCP Server tools to help developers manage cloud resources with AI-agent
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-huaweiclouddeveloper": {
"command": "uv",
"args": [
"run",
"mcp-server-ecs"
]
}
}
}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。
Huawei MCP Server is a Model Context Protocol server built on Huawei Cloud services. It provides secure and controlled cloud access for large AI models, enabling AI assistants to operate Huawei Cloud resources within conversational workflows, supporting core services including ECS, OBS, GaussDB, and other widely‑used cloud products.
Install dependencies (Python 3.10+ and uv, or pip), then set the HUAWEI_ACCESS_KEY and HUAWEI_SECRET_KEY environment variables. Run a service with uv run mcp-server-ecs (or python run.py for individual services). Configure the server in an MCP client like Cline using a JSON object with the streamableHttp transport.
uv and Python/pip run methods.It is built exclusively on Huawei Cloud services.
You must set `HUAWEI_ACCESS_KEY` and `HUAWEI_SECRET_KEY`.
Recommended way: use `uv run mcp-server-ecs`. Alternatively, install with pip and run `python run.py` inside the desired service folder.
The server supports `http`, `sse`, and `stdio` transports, configurable via the `-t` flag.
Configure your MCP client with a JSON object containing `"url": "http://localhost:8888/mcp"`, `"type": "streamableHttp"`, and any other optional fields.

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