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Sufy MCP Server

@sufy-dev

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT license

トランスポート

stdio

作者

sufy-dev

投稿者

yangsen

Sufy MCP Server について

概要はまだありません

Sufy MCP Server の設定

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": {
    "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": ""
      }
    }
  }
}

Sufy MCP Server のツール

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。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Sufy MCP Server?

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.

How to use Sufy MCP Server?

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.

Key features of Sufy MCP Server

  • List all Sufy buckets in your account
  • List files inside a given Sufy bucket
  • Read the content of a specific file
  • Resize an image file by a given percentage

Use cases of Sufy MCP Server

  • Manage Sufy storage resources directly from an AI chat interface
  • Quickly browse bucket contents without leaving the coding environment
  • Automate image resizing tasks on cloud-stored files
  • Retrieve file contents for analysis or display

よくある質問

1

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.

2

How do I configure the server in Cline?

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.

3

Which bucket operations are supported?

The server supports listing buckets, listing files in a bucket, reading file content, and resizing an image file by a percentage.

4

What authentication is required?

Sufy access key and secret key must be provided as environment variables. A region name and endpoint URL are also required.

5

Does the server store any user data?

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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