How to Use the DeepAI MCP in Cline

Q: Can Cline use DeepAI to colorize legacy assets?

Yes. Cline accesses the colorizeimage tool to add realistic color to old black-and-white photos in your repository, saving the updated assets automatically.

Build frontend apps in Cline with AI-generated and edited images written straight to your codebase.

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Connect DeepAI MCP to Cline

Create your Vinkius account to connect DeepAI to Cline 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 Cline

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Claude

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Let Cline build UI layouts with real images

The `generate_image` tool produces custom visual assets based on the UI specs you write in VS Code. Cline runs this tool to create placeholders, icons, and hero graphics during development. Instead of using generic gray boxes, your agent inserts actual PNGs directly into your code. It updates your React or HTML files with the correct file paths instantly.

Modify and upscale assets via the MCP Server

The `edit_image` tool modifies existing project assets using natural language instructions. You tell Cline what to change, and it executes the edits directly on the local files. If the modified asset looks blurry, the `super_resolution` tool sharpens the output and increases its pixel density. Cline handles the file replacements without breaking your build.

Isolate product images for clean layouts

The `remove_background` tool isolates subjects by stripping out noisy backdrops from any image file. This tool lets you prepare clean, transparent assets for your web components. Cline takes your raw uploads, runs the extraction, and replaces the original file in your assets folder. You get clean graphics ready for CSS styling.

Setup guide

Set up DeepAI MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type deepai-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest DeepAI refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

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

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Common questions about DeepAI MCP in Cline

Click the MCP icon in your Cline sidebar and add the server under the Remote Servers tab. You can also configure it by writing the server URL directly to your cline_mcp_settings.json file.

Yes. Cline accesses the `colorize_image` tool to add realistic color to old black-and-white photos in your repository, saving the updated assets automatically.

Yes, Cline handles multi-step operations easily. You can instruct the agent to run background removal on an entire folder of assets, and it will process them one by one.

Cline writes all outputs from the image tools directly to your local workspace directory. You specify the target folder, and the agent saves the files there.

All image files processed by the server are sent via TLS-encrypted connections directly to DeepAI's API. Vinkius hosts the MCP server in a secure, ephemeral sandbox, ensuring your private image assets are never cached or exposed.

Use it with your favorite AI tools

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

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