Sufy MCP Server

@sufy-dev

About Sufy MCP Server

No overview available yet

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "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": ""
      }
    }
  }
}

Tools

No tools detected

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

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

FAQ from Sufy MCP Server

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.

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.

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.

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.

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.

Frequently asked questions

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.

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.

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.

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.

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.

Comments

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