How to Use the CometAPI MCP in Cursor

Q: How do I configure CometAPI inside Cursor?

Create a .cursor/mcp.json file in your project root. Add the server configuration under the mcpServers key, and your agent will immediately gain access to tools like transcribeaudiototext.

Q: Can my Cursor agent automatically generate speech files using CometAPI?

Yes, your agent can call converttexttospeech during chat or composer sessions. It will write the output audio file directly into your project folder.

Q: How do I check if CometAPI is online inside Cursor?

Ask your agent to run checkapihealth. This verifies your connection to the MCP Server before you start running heavy batch completions.

Q: Which AI providers can I query through this setup?

You can use listsupportedaiproviders to see the complete list. This lets you route completions to multiple external backends with a single configuration.

Generate code, audio assets, and multi-model completions directly inside Cursor using CometAPI.

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Connect CometAPI MCP to Cursor

Create your Vinkius account to connect CometAPI 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 CometAPI with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build media assets directly in Cursor

Stop switching to external tools to generate audio files or mock images when using this MCP toolset. Your Cursor agent can call `generate_ai_image` or `convert_text_to_speech` to drop these assets straight into your active workspace directories. The editor lets you preview these assets instantly. You write the code, and your agent provides the media files to test your app without you ever breaking focus.

Run multi-provider testing via this MCP Server

Test how different LLMs parse your codebase. This MCP Server lets your agent run completions with `create_ai_chat_completion` across different providers, comparing outputs directly inside your editor chat. Your agent calls `list_available_ai_models` to check which models are ready. You can easily benchmark your prompts against GPT-4, Claude, or Gemini without leaving your active file.

Monitor API costs while writing code

Keep track of your development expenses as you test. By executing `get_api_usage_statistics`, your agent checks your current spend so you don't run into unexpected bills during long coding sessions. You can also query `get_pricing_information` to see active rates. This lets you write logic that automatically selects the most cost-effective model for your production tasks.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "cometapi-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 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 Cursor

Create a `.cursor/mcp.json` file in your project root. Add the server configuration under the mcpServers key, and your agent will immediately gain access to tools like `transcribe_audio_to_text`.

Yes, your agent can call `convert_text_to_speech` during chat or composer sessions. It will write the output audio file directly into your project folder.

Ask your agent to run `check_api_health`. This verifies your connection to the MCP Server before you start running heavy batch completions.

You can use `list_supported_ai_providers` to see the complete list. This lets you route completions to multiple external backends with a single configuration.

Your authentication keys and text prompts are processed through an isolated Vinkius sandbox. We never log your API keys or cache your prompt payloads, keeping your developer credentials completely secure.

Use it with your favorite AI tools

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

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