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Connect Nvidia AI to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Run heavy foundation models through your AI client without managing GPUs.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 9 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-03

3 capabilities in this set.

Part of 9 available through NVIDIA.

  1. 01

    Ask question

    This capability queries a massive 405B parameter reasoning model. You can provide extra context to get more precise answers.

  2. 02

    Chat completion

    This capability lets you chat with specific NVIDIA models like Llama or Mistral. You specify the model name and pass messages in OpenAI format.

  3. 03

    Generate code

    This capability writes code based on your natural language instructions. You can specify a programming language if you have a preference.

Capability set02 / 03

04-06

3 capabilities in this set.

Part of 9 available through NVIDIA.

  1. 04

    Get embeddings

    This capability creates vector embeddings using the nv-embed-v1 model. It is built for tasks like search and clustering.

  2. 05

    List models

    This capability retrieves a full list of all available AI models currently in the NVIDIA API Catalog.

  3. 06

    Text to SQL

    This capability converts your natural language questions into executable SQL queries.

Capability set03 / 03

07-09

3 capabilities in this set.

Part of 9 available through NVIDIA.

  1. 07

    Analyze sentiment

    This capability evaluates the emotional tone of a given text. It returns the sentiment analysis for your input.

  2. 08

    Summarize text

    This capability condenses long documents into shorter, more concise versions.

  3. 09

    Translate text

    This capability performs neural translation to move text from one language to another.

Real work

What teams actually run

01

Rapid Prototyping

A developer builds an AI feature by calling Llama models through the MCP instead of local testing.

02

Database Querying

An analyst uses natural language to generate SQL queries for complex data lookups.

03

Content Processing

A workflow uses the summarization and translation capabilities to process large batches of documents.

04

Search Optimization

A data scientist generates vector embeddings to power a new search or clustering system.

Automate a task

Put NVIDIA to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

NVIDIA works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put NVIDIA to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

954ms average. Fast in production.

NVIDIA is checked daily against the live service.

Daily averagePeak 1109ms
Oct 3Today
Fastest day
723ms
Slowest day
1109ms
14-day trend
Stable+3%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 9 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of NVIDIA, so you can see the experience inside your AI.

It does not authenticate your account with NVIDIA. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

NVIDIA Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_F8wZEFp9XAw3aowvQGCJgs0iHR9Eswli1t6PkJLP/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — NVIDIA capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "nvidia-ai-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_F8wZEFp9XAw3aowvQGCJgs0iHR9Eswli1t6PkJLP/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up NVIDIA in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work NVIDIA owners hand off.

This MCP is built for technical professionals who need high-performance model access without the overhead of managing GPU clusters.

  • 01

    Developers

    They use it to prototype AI features quickly without setting up local GPU infrastructure.

  • 02

    Data Scientists

    They use it to generate embeddings and run NLP tasks at scale.

  • 03

    Business Analysts

    They use the text-to-SQL capability to query databases using plain English.

FAQ

Questions NVIDIA owners ask.

  • 01

    Do I need my own GPU to use this MCP?

    No. This MCP uses NVIDIA's API Catalog, so all model inference happens on their GPU-accelerated infrastructure.

  • 02

    Which AI clients can I use with this?

    You can use any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 03

    Where do I get the required API key?

    You need to get your NVIDIA API Key from build.nvidia.com.

  • 04

    Can I use different models like Llama or Mistral?

    Yes. You can specify different models in your chat completion calls to use Llama, Mistral, Nemotron, and others.

  • 05

    What is the purpose of the 405B model?

    The 405B parameter model is used for complex reasoning tasks that require higher intelligence than standard models.

  • 06

    Which AI models are available?

    The NVIDIA API Catalog offers Llama 3.1 (8B, 70B, 405B), Mistral, CodeLlama, Gemma, Nemotron, and many more. Use the list_models capability to see all available models.

  • 07

    How do I get an NVIDIA API Key?

    Sign up at build.nvidia.com, go to your account settings, and generate an API key. The Developer Program includes free inference credits.

  • 08

    Can I generate code in specific languages?

    Yes! The generate_code capability lets you specify the programming language (Python, JavaScript, TypeScript, Java, etc.) for better results.

  • 09

    Are there usage limits on the free tier?

    Yes, the NVIDIA Developer Program provides free inference credits. Once exhausted, you can upgrade to a paid plan for higher throughput. Check your usage dashboard at build.nvidia.com.

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