What cloud provider does the server work with?
It is built exclusively on Huawei Cloud services.
@HuaweiCloudDeveloper
基本情報
Provide different cloud products MCP Server tools to help developers manage cloud resources with AI-agent
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-server-huaweiclouddeveloper": {
"command": "uv",
"args": [
"run",
"mcp-server-ecs"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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