How to Use the Groq MCP in Cursor

Q: How do I add the Groq server to my Cursor editor?

Create a .cursor/mcp.json file in your project root and define the MCP server configuration there. Cursor will automatically spin up the connection, allowing your agent to invoke the LPU tools.

Q: Can the Cursor agent use Groq to parse audio files?

Yes, the agent can call transcribeaudio on files in your workspace. Cursor passes the audio payload to the server, which returns the transcribed text directly into your editor.

Q: Does Groq support custom system prompts in Cursor?

Absolutely, the chatcompletion tool accepts system messages alongside user prompts. Cursor passes your custom instructions to the LPU, ensuring the model adheres to your specific coding style.

Q: How do I view the list of active models?

The listmodels tool fetches the current lineup of Llama, Mixtral, and Gemma models directly from the API. Your agent uses this list to select the most efficient model for your task.

Inject LPU-accelerated completions and structured JSON directly into your Cursor agent to write code with live API context.

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Connect Groq MCP to Cursor

Create your Vinkius account to connect Groq 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 Groq with Cursor

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Generate Fast Code with LPU Completions in Cursor

`chat_completion` feeds high-speed model outputs directly into your Cursor active editor window. Your coding agent queries Groq models to generate entire files or refactor functions without the usual latency of traditional cloud endpoints. This setup lets you test multiple code variations in seconds. The speed of the LPU means your agent writes, tests, and modifies code before you lose your train of thought.

Populate Code Files with Valid JSON using this MCP Server

`structured_output` forces the Groq API to return raw data formatted to your exact JSON schema. Cursor reads this structured data directly, allowing your agent to write TypeScript interfaces or populate local JSON databases without manual formatting. You define the object structure in your prompt, and the LPU guarantees the shape of the payload. This mechanism completely bypasses the need for manual parsing or regex validation steps.

Audit Code Safety Instantly inside your Cursor Workspace

`moderate_content` checks your codebase comments or user-facing inputs for safety violations before they commit. Cursor calls this tool to verify that generated text or input fields comply with standard content safety guidelines. The check runs directly against Groq's high-speed moderation endpoints. This MCP connection protects your repository by giving your agent immediate feedback, preventing unsafe code patterns from reaching production.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "groq-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 Groq. 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 Groq MCP in Cursor

Create a `.cursor/mcp.json` file in your project root and define the MCP server configuration there. Cursor will automatically spin up the connection, allowing your agent to invoke the LPU tools.

Yes, the agent can call `transcribe_audio` on files in your workspace. Cursor passes the audio payload to the server, which returns the transcribed text directly into your editor.

Absolutely, the `chat_completion` tool accepts system messages alongside user prompts. Cursor passes your custom instructions to the LPU, ensuring the model adheres to your specific coding style.

The `list_models` tool fetches the current lineup of Llama, Mixtral, and Gemma models directly from the API. Your agent uses this list to select the most efficient model for your task.

Your source code and text inputs are protected by Vinkius's ephemeral V8 sandbox, which processes all requests in-memory. No data is stored on disk, ensuring your proprietary code remains strictly private.

Use it with your favorite AI tools

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

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