How to Use the DeepAI MCP in Cursor

Q: How do I configure the DeepAI MCP Server for my project in Cursor?

Create a .cursor/mcp.json file in your project's root directory. Add the DeepAI server configuration there, and anyone who opens the project in Cursor will have the tools available automatically.

Generate production-ready image assets with your agent and drop them right into your Cursor project.

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Connect DeepAI MCP to Cursor

Create your Vinkius account to connect DeepAI 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 DeepAI with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Generate images and use them in your code

You're building a UI and need a placeholder. Instead of searching a stock photo site, just ask your agent to `generate_image`. The image is created, and you can get a URL or save it locally, then reference it in the code your agent is writing. It’s not a stub; it's a real asset you can ship. Your agent can create the image and the React component that displays it in one step.

Edit images without leaving your IDE

A designer sends you an asset, but the background is wrong. Use `remove_background` directly from Cursor. The agent will process the image and give you the result. No need to open a separate graphics app. You can also make text-based changes with `edit_image`, like "change the logo color to blue." It keeps your focus on the code.

Prep assets for production with your Cursor MCP Server

Got a fuzzy, low-quality logo from the marketing team? Run it through `super_resolution` to get a crisp version for your web app. This MCP server gives you a set of image tools right inside your editor. You can even use `colorize_image` to test color schemes on black-and-white wireframes. It makes image manipulation just another part of your coding workflow.

Setup guide

Set up DeepAI 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 DeepAI 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 DeepAI transactions." If the MCP tools are loaded correctly, Cursor will call the DeepAI tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DeepAI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about DeepAI MCP in Cursor

Once installed, the DeepAI tools are available to your agent. You can ask it to `generate_image` or `edit_image` and it will call the tool, get the result, and use it in the code it's writing or show it to you in the chat.

Create a `.cursor/mcp.json` file in your project's root directory. Add the DeepAI server configuration there, and anyone who opens the project in Cursor will have the tools available automatically.

Nothing is stored. Vinkius runs each MCP Server in an ephemeral sandbox. Your image is sent, processed for the specific task you requested, and then the instance is terminated along with the data.

No. The integration only sends data that you explicitly pass to a tool. When you use `edit_image` on a file, only that image file is sent to the MCP Server for processing. Your code never leaves your editor.

Vinkius guarantees that your image data is only resident in memory for the duration of the tool's execution. The server is hosted in a zero-trust environment where data is not logged or persisted. Once the image is returned, the original is purged.

Use it with your favorite AI tools

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

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