What are the runtime requirements?
Python 3.12 or higher and the `uv` package manager must be installed. See the uv installation documentation for platform-specific steps.
@sufy-dev
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"sufy-mcp-server": {
"command": "uvx",
"args": [
"sufy-mcp-server"
],
"env": {
"SUFY_ACCESS_KEY": "YOUR SUFY ACCESS KEY",
"SUFY_SECRET_KEY": "YOUR SUFY SECRET KEY",
"SUFY_REGION_NAME": "YOUR SUFY REGION NAME",
"SUFY_ENDPOINT_URL": "YOUR SUFY ENDPOINT URL",
"SUFY_BUCKETS": ""
}
}
}
}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。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
The Sufy MCP Server allows users to access Sufy cloud products and services through the Model Context Protocol (MCP) within AI large model clients like Cline.
Requires Python 3.12 or higher and the uv package manager. In VSCode, install the Cline plugin, configure a large language model, then add a new MCP server using the provided JSON configuration template with your Sufy access key, secret key, region, endpoint URL, and a comma-separated list of bucket names. Once the connection is toggled on, you can interact with Sufy resources via natural language prompts in Cline.
Python 3.12 or higher and the `uv` package manager must be installed. See the uv installation documentation for platform-specific steps.
Use the Advanced MCP Settings to add a JSON block with the `command` set to `uvx`, `args` set to `["sufy-mcp-server"]`, and environment variables `SUFY_ACCESS_KEY`, `SUFY_SECRET_KEY`, `SUFY_REGION_NAME`, `SUFY_ENDPOINT_URL`, and `SUFY_BUCKETS` (comma-separated). Then toggle the connection switch.
The server supports listing buckets, listing files in a bucket, reading file content, and resizing an image file by a percentage.
Sufy access key and secret key must be provided as environment variables. A region name and endpoint URL are also required.
The README does not specify any server-side data storage; it accesses Sufy services using the provided credentials on each request.

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