Sufy MCP Server
Description
# Sufy MCP Server ## Overview The Model Context Protocol (MCP) Server built on Sufy products allows users to access Sufy services through this MCP Server within the context of AI large model clients. ## Environment Requirements - Python 3.12 or higher - uv package manager If you…
About
# Sufy MCP Server ## Overview The Model Context Protocol (MCP) Server built on Sufy products allows users to access Sufy services through this MCP Server within the context of AI large model clients. ## Environment Requirements - Python 3.12 or higher - uv package manager If you haven't installed uv yet, you can…
Details
- Author
- sufy-dev
- Downloads
- 207
- Categories
- Other
Jump to
- 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
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Sufy MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
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.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"sufy mcp server": {
"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": ""
}
}
}
}
}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
Overview
The Model Context Protocol (MCP) Server built on Sufy products allows users to access Sufy services through this MCP Server within the context of AI large model clients.
Environment Requirements
- Python 3.12 or higher
- uv package manager
If you haven't installed uv yet, you can install it with the following command:
Here's the English translation of the provided text:
```bash
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