How to Use the DeepAI MCP in VS Code Copilot

Q: How do I share the DeepAI tools with my team using VS Code Copilot?

Add the server configuration to a .vscode/mcp.json file in your project's root folder and commit it to your Git repository. Every team member who pulls the code will automatically have the DeepAI tools configured in VS Code.

Equip your entire team with AI image tools in VS Code Copilot. Standardize creative assets from your editor.

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Connect DeepAI MCP to VS Code Copilot

Create your Vinkius account to connect DeepAI to VS Code Copilot 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 VS Code Copilot

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Standardize image assets across your team

Add the DeepAI MCP Server to your project's `.vscode/mcp.json` and commit it. Now, every developer on the team has the same tools. When someone needs a placeholder or an icon, they use `generate_image` in Copilot Chat. Everyone gets consistent results. No more "I just grabbed something from Google Images." This keeps your project's visual assets uniform from the start.

Run image edits from the Copilot chat panel

Your agent can now modify images. Use `remove_background` to prep product photos or `edit_image` to tweak marketing banners based on simple text instructions. The changes happen on the Vinkius-hosted server, and the result comes right back into VS Code. It saves you from context-switching to a separate graphics editor, keeping you in your development environment.

Improve image quality with your VS Code MCP Server

Commit low-res images to your repo, and use `super_resolution` on-demand to upscale them before a build. It’s a practical way to manage assets without bloating your repository. You can also use `colorize_image` to quickly add color to wireframes or diagrams your team is working on. This MCP setup makes image manipulation just another developer tool, available to everyone on the project.

Setup guide

Set up DeepAI MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the DeepAI MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the DeepAI tools listed. Try asking: "List my recent DeepAI transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

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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 VS Code Copilot

Add the server configuration to a `.vscode/mcp.json` file in your project's root folder and commit it to your Git repository. Every team member who pulls the code will automatically have the DeepAI tools configured in VS Code.

Yes. The Vinkius platform that hosts the MCP Server is SOC 2 compliant. All processing happens in isolated, single-use environments, meeting common enterprise security requirements.

It only sees the specific image data you send to one of its tools. For example, if you ask it to `colorize_image`, only that image is sent for processing. None of your source code or other files are ever accessed.

The MCP Server is a remote HTTPS endpoint hosted by Vinkius. As long as your network policies allow outbound HTTPS requests to the Vinkius URL provided in your setup, it will work.

Your image's privacy is protected by the Vinkius architecture. The DeepAI server runs in an ephemeral container that is destroyed after your request is complete. Your image data is processed in-memory and is never written to disk or logged.

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