How to Use the CometAPI MCP in VS Code Copilot

Q: How do I share CometAPI configuration with my team in VS Code Copilot?

Commit a .vscode/mcp.json file to your shared repository. That configures the MCP Server for your team, granting access to tools like transcribeaudiototext when they open the project.

Q: Can I use CometAPI to generate speech directly inside VS Code Copilot?

Yes, your Copilot agent can run converttexttospeech to generate audio files. It saves the resulting files directly into your active workspace.

Q: How do I verify that CometAPI is connected in VS Code Copilot?

Ask your agent to execute checkapihealth. This confirms that your connection to the MCP Server is active and that your credentials are valid.

Q: Which AI providers are supported by this integration?

Your agent queries listsupportedaiproviders to list all active backends. This lets you run multi-provider tasks with a single setup.

Integrate multi-model completions and voice generation into VS Code Copilot with CometAPI.

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Connect CometAPI MCP to VS Code Copilot

Create your Vinkius account to connect CometAPI 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 CometAPI with VS Code Copilot

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Generate audio and images inside VS Code Copilot

Let your team generate voiceovers and UI mockups directly within their editor using these MCP tools. Your Copilot agent uses `convert_text_to_speech` and `generate_ai_image` to build assets on demand during development. Because VS Code Copilot is shared across your workspace, your team can write commands that output assets straight into your project's static assets folder. No manual copying or asset importing is needed.

Compare model outputs inside your editor

Stop relying on a single LLM provider for code refactoring. This MCP Server allows your agent to run completions using `create_ai_chat_completion` against multiple external engines at the same time. Your agent calls `list_available_ai_models` to check which models are active. This lets you compare speed and quality before committing code to your main branch.

Track team API consumption and costs

Running large-scale completions over this MCP gateway can quickly drain your team's budget. By running `get_api_usage_statistics`, your agent keeps track of cumulative usage and active costs directly inside your chat panel. You can also query `get_pricing_information` to see rates for specific models. This helps you write cost-aware code generators without leaving your workspace.

Setup guide

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

.vscode/mcp.json

{
  "mcpServers": {
    "cometapi-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 CometAPI. 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 CometAPI MCP in VS Code Copilot

Commit a `.vscode/mcp.json` file to your shared repository. That configures the MCP Server for your team, granting access to tools like `transcribe_audio_to_text` when they open the project.

Yes, your Copilot agent can run `convert_text_to_speech` to generate audio files. It saves the resulting files directly into your active workspace.

Ask your agent to execute `check_api_health`. This confirms that your connection to the MCP Server is active and that your credentials are valid.

Your agent queries `list_supported_ai_providers` to list all active backends. This lets you run multi-provider tasks with a single setup.

Your source code, API keys, and generated assets are processed through an ephemeral, zero-trust Vinkius sandbox. No code or credentials are ever stored or cached, keeping your enterprise data secure.

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