How to Use the NVIDIA AI MCP in Cursor

Q: How do I configure Cursor to use the NVIDIA AI MCP Server?

Create a .cursor/mcp.json file in your project root or your home directory. Add the server under the mcpServers key with your Vinkius endpoint token, and Cursor will automatically load the tools in Agent mode.

Q: Can Cursor use NVIDIA AI to write code in any programming language?

Yes, the generatecode tool supports all major programming languages. Cursor passes your language preference and file context to the server, which returns structured code matching your project's style.

Generate code and build vector embeddings directly inside your Cursor editor using NVIDIA AI.

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Connect NVIDIA AI MCP to Cursor

Create your Vinkius account to connect NVIDIA AI 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 NVIDIA AI with Cursor

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Generate code inside Cursor using NVIDIA AI

The `generate_code` tool writes clean, functional code blocks directly into your Cursor editor based on your current workspace files. Writing boilerplate code is a waste of your time. The model writes code that actually works because it has access to your local files. Cursor handles the file injection, while the NVIDIA AI MCP Server provides the specialized code generation backend.

Generate vector embeddings for search

The `get_embeddings` tool uses the `nvidia/nv-embed-v1` model to turn your text and code into vectors inside Cursor. Building a local search feature requires accurate vectors. This lets you test retrieval-augmented generation setups directly inside your workspace. You do not need to write custom Python scripts to generate embeddings during your development cycle.

Query schemas and generate SQL on the fly

The `text_to_sql` tool converts natural language instructions into precise database queries directly inside your Cursor editor. Stop writing complex joins from scratch. The editor feeds your schema context directly to the server. You get clean SQL back in your editor panel, ready to be executed or saved into your migration files.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "nvidia-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 NVIDIA. 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 NVIDIA AI MCP in Cursor

Create a `.cursor/mcp.json` file in your project root or your home directory. Add the server under the `mcpServers` key with your Vinkius endpoint token, and Cursor will automatically load the tools in Agent mode.

Yes, the `generate_code` tool supports all major programming languages. Cursor passes your language preference and file context to the server, which returns structured code matching your project's style.

Open the Cursor chat panel and look for the MCP status indicator. You can also run the `list_models` tool to verify that your editor can successfully communicate with the NVIDIA API Catalog.

Yes, you can highlight a buggy code block and ask Cursor to debug it. The editor will use `chat_completion` to send the code and error logs to a model like Llama 3.1 for a quick fix.

Your code snippets and workspace context are transmitted securely to the NVIDIA API Catalog solely to generate responses. Vinkius runs the server in a zero-trust, ephemeral sandbox, ensuring your proprietary code is never cached or exposed.

Use it with your favorite AI tools

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