How to Use the Vectorizer AI MCP in VS Code Copilot

Q: How does Vectorizer AI work with VS Code Copilot?

You set up the server in .vscode/mcp.json. When a developer activates Copilot Chat Agent mode, they can call vectorizeimage to convert bitmaps into vectors.

Q: Can Vectorizer AI download images using VS Code Copilot?

Yes. Using the downloadimage tool allows your team members to retrieve the generated vector files in multiple formats right from their VS Code environment.

Q: Does Vectorizer AI check credits when using VS Code Copilot?

Absolutely. The getaccountstatus function lets you verify the project's credit usage and subscription details before committing to a large batch of conversions.

Q: If I delete an image using Vectorizer AI on VS Code Copilot, what data is affected?

Running deleteimage removes the stored bitmap token. This cleans up the shared server's memory and manages the lifecycle of processed images.

Standardize vector conversion tools across teams using VS Code Copilot.

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Connect Vectorizer AI MCP to VS Code Copilot

Create your Vinkius account to connect Vectorizer AI 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 Vectorizer AI with VS Code Copilot

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Team Vectorization Workflow

Commit the MCP configuration to your repository and let all team members access `vectorize_image`. This tool automatically converts JPG or PNG bitmaps into vector formats like SVG, EPS, PDF, or DXF. It means every developer uses the same, reliable conversion process without needing individual setup.

Retrieve Assets for Team Projects

After a team member runs `vectorize_image`, they use `download_image` to grab the resulting files. This pulls down the vector output in various formats, completing the asset pipeline. You can include this tool in shared workflows so everyone has access to the final assets.

Manage Team API Limits

Before starting a large project build, developers run `get_account_status`. This checks the team's subscription status and remaining credits. It's a simple governance check that keeps your engineering effort within budget.

Setup guide

Set up Vectorizer AI 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 Vectorizer AI 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 Vectorizer AI tools listed. Try asking: "List my recent Vectorizer AI transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "vectorizer-ai-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 Vectorizer AI. 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 Vectorizer AI MCP in VS Code Copilot

You set up the server in `.vscode/mcp.json`. When a developer activates Copilot Chat Agent mode, they can call `vectorize_image` to convert bitmaps into vectors.

Yes. Using the `download_image` tool allows your team members to retrieve the generated vector files in multiple formats right from their VS Code environment.

Absolutely. The `get_account_status` function lets you verify the project's credit usage and subscription details before committing to a large batch of conversions.

It takes standard bitmap inputs (JPG, PNG) and converts them into high-quality vector outputs like SVG, EPS, PDF, or DXF for team use.

Running `delete_image` removes the stored bitmap token. This cleans up the shared server's memory and manages the lifecycle of processed images.

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