How to Use the UPYUN Developer Platform MCP in Cursor

Q: How is the UPYUN Developer Platform used with Cursor?

You configure it by adding the server details to .cursor/mcp.json or /.cursor/mcp.json. Then, you enable Agent mode in chat, letting the AI call tools and inject live data into your code.

Q: Can Cursor's agent use the UPYUN Developer Platform to write code that interacts with files?

Yes. The MCP Server provides createtextfile, deletefile, and getfileinfo. Your AI client uses these functions to manage content and build reliable file operation logic.

Q: What kind of data does the UPYUN Developer Platform touch in Cursor?

It touches usage metrics, specifically through the getserviceusage tool. This ensures your generated code handles real-time resource consumption figures.

Q: Is using the UPYUN Developer Platform compatible with project-scoped settings in Cursor?

Absolutely. You can put the configuration in .cursor/mcp.json within your project root, making sure every developer on your team uses the same set of tools.

Inject live cloud data into your code using Cursor's Agent mode and the UPYUN Developer Platform MCP Server.

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Connect UPYUN Developer Platform MCP to Cursor

Create your Vinkius account to connect UPYUN Developer Platform to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup UPYUN Developer Platform with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Integrate dynamic file context.

The `list_directory` tool pulls real folder contents, letting the AI know exactly what files exist in an UPYUN bucket. When you're writing code that references assets, this prevents hardcoding paths. The AI also uses `get_file_info` to grab metadata—like file size or creation date—so your generated code is always accurate.

Write code against live cloud usage data.

You can use the `get_service_usage` tool in your agent mode. Instead of using mock values, the AI calls this and injects real consumption figures directly into your function or script. This means you're building working code that accounts for actual infrastructure limits.

Perform full cloud content lifecycle management.

The MCP Server gives you tools to manage files: `create_text_file` uploads new assets, and `delete_file` cleans up old ones. Your agent can write functions that perform these steps automatically. This level of control over UPYUN buckets—using all five tools—is perfect for writing production-ready code.

Setup guide

Set up UPYUN Developer Platform MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the UPYUN Developer Platform MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent UPYUN Developer Platform transactions." If the MCP tools are loaded correctly, Cursor will call the UPYUN Developer Platform tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "upyun-developer-platform-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about UPYUN Developer Platform MCP in Cursor

You configure it by adding the server details to `.cursor/mcp.json` or `~/.cursor/mcp.json`. Then, you enable Agent mode in chat, letting the AI call tools and inject live data into your code.

Yes. The MCP Server provides `create_text_file`, `delete_file`, and `get_file_info`. Your AI client uses these functions to manage content and build reliable file operation logic.

It touches usage metrics, specifically through the `get_service_usage` tool. This ensures your generated code handles real-time resource consumption figures.

Absolutely. You can put the configuration in `.cursor/mcp.json` within your project root, making sure every developer on your team uses the same set of tools.

By providing live API responses for tasks like listing directories or getting file info. Your AI client gets real data, so it doesn't have to rely on outdated stubs.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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