NVIDIA AI Connector for AI agents.
9 live capabilities
Run GPU-accelerated inference for Llama 3 and Mistral models.
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Why people use NVIDIA AI
NVIDIA AI for GPU-Accelerated Model Inference
This Connector removes those hurdles by giving your agent direct access to NVIDIA's production-grade hardware. You get the power of GPU-accelerated inference without ever having to touch a server configuration.
What Vinkius changes
You get production-grade GPU models ready for your agent instantly.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Building a RAG system
A data scientist needs to process 10,000 documents for a search index.
- Real-world use case 02
Automating database reports
A business analyst asks the agent to find last month's sales.
- Real-world use case 03
Multi-language customer support
A support lead wants to handle global inquiries.
Complete set · 9capabilities
The complete NVIDIA AI capability set.
These are the exact actions your AI can choose when you ask it to work with NVIDIA AI.
01—03
3 capabilities in this set.
Part of 9 available through NVIDIA AI.
- 01 Capability
Ask question
Ask a high-parameter reasoning model a complex question. You can provide extra context to get a more nuanced answer.
- 02 Capability
Chat completion
Start a conversation with models like Llama or Mistral. You just need to specify the model name and the user messages.
- 03 Capability
Generate code
Turn a description of a coding task into actual source code. It works for multiple programming languages.
04—06
3 capabilities in this set.
Part of 9 available through NVIDIA AI.
- 04 Capability
Get embeddings
Turn a block of text into a vector embedding. This helps with building search and clustering systems.
- 05 Capability
List models
See every model currently available in the NVIDIA API Catalog. It helps you pick the right capability for your specific task.
- 06 Capability
Text to sql
Give the agent a natural language question and get a SQL query back. It makes it easier to talk to your database.
07—09
3 capabilities in this set.
Part of 9 available through NVIDIA AI.
- 07 Capability
Analyze sentiment
Check the emotional tone of a piece of text. This is great for monitoring feedback or reviews.
- 08 Capability
Summarize text
Turn a long document into a short summary. It helps you get the main points without reading the whole thing.
- 09 Capability
Translate text
Convert text from one language to another. It supports dozens of different languages for global reach.
Set up in minutes
One URL. Then ask NVIDIA AI to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use NVIDIA AI from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_F8wZEFp9XAw3aowvQGCJgs0iHR9Eswli1t6PkJLP/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it NVIDIA AI, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable NVIDIA AI for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_F8wZEFp9XAw3aowvQGCJgs0iHR9Eswli1t6PkJLP/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the NVIDIA AI URL.
- Step 03
Save and start
Save the connection and enable NVIDIA AI in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"nvidia-ai": {
"url": "https://edge.vinkius.com/vk_preview_F8wZEFp9XAw3aowvQGCJgs0iHR9Eswli1t6PkJLP/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using NVIDIA AI
Open Agent mode in chat and ask: "Using NVIDIA AI, help me...". 9 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"nvidia-ai": {
"url": "https://edge.vinkius.com/vk_preview_F8wZEFp9XAw3aowvQGCJgs0iHR9Eswli1t6PkJLP/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using NVIDIA AI
Ask Copilot: "Using NVIDIA AI, help me...". 9 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"nvidia-ai": {
"url": "https://edge.vinkius.com/vk_preview_F8wZEFp9XAw3aowvQGCJgs0iHR9Eswli1t6PkJLP/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using NVIDIA AI
Open Cascade and ask: "Using NVIDIA AI, help me...". 9 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"nvidia-ai": {
"url": "https://edge.vinkius.com/vk_preview_F8wZEFp9XAw3aowvQGCJgs0iHR9Eswli1t6PkJLP/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using NVIDIA AI
Ask Cline: "Using NVIDIA AI, help me...". 9 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add nvidia-ai --transport http "https://edge.vinkius.com/vk_preview_F8wZEFp9XAw3aowvQGCJgs0iHR9Eswli1t6PkJLP/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using NVIDIA AI
Ask Claude: "Using NVIDIA AI, show me...". 9 tools are ready
Where the request belongs
Work NVIDIA can move forward.
This is for the developer who needs to ship AI features without the overhead of managing clusters, and the data scientist who needs to run embeddings at scale without worrying about hardware limits.
AI Engineer
Building a RAG system and needs to generate high-quality embeddings for thousands of documents.
Data Scientist
Running NLP tasks like sentiment analysis and translation on large datasets without local GPU bottlenecks.
Business Analyst
Using natural language to query internal databases instead of writing manual SQL reports.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsDeepInfra (Serverless LLM Inference)
Run top-tier LLMs, image generation, and embeddings via DeepInfra's serverless infrastructure directly from your AI agent.
Together AI
Generate code, evaluate embeddings, and deploy open-source LLMs instantly from your local agent via Together AI's infrastructure.
SambaNova (AI Inference)
High-speed AI inference for Llama 3, DeepSeek, and MiniMax models via SambaNova's ultra-fast SN40L chips.
NVIDIA API Catalog
Cloud Engine proxy running native foundational completions natively utilizing active Nemotron and Llama3 architectures.
Gradient AI (LLM API & Finetuning)
Access powerful LLMs, fine-tune models on your own data, and generate embeddings directly through your AI agent.
Groq
Run large language models at unprecedented speed with custom LPU hardware that delivers real-time AI inference at massive scale.
Bring your own AI
Change the model, client or framework. Keep NVIDIA connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about NVIDIA.
The practical details behind the request, access and result.
Does NVIDIA AI support Llama 3.1 models?
Yes, you can access Llama 3.1 and other high-performance models directly through the NVIDIA API Catalog using this Connector.
Can I use NVIDIA AI to build a RAG system?
Yes, you can use the embedding capabilities to convert your data into vectors, which is a core requirement for building RAG systems.
How do I get my NVIDIA API Key?
You can generate your API key at the official NVIDIA build website and add it to your Connector configuration.
Can NVIDIA AI write SQL queries for me?
Yes, the text-to-SQL capability allows your agent to take a natural language question and turn it into a valid SQL query for your database.
What models are available through NVIDIA AI?
You can see the full list of available models, including Llama, Mistral, and Nemotron, by using the model listing capability.
Is this Connector good for translation tasks?
Yes, it supports neural translation between dozens of different languages, making it great for global content needs.
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.
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.
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.
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.
One connection away
Give your agent a direct line to NVIDIA.
Connect NVIDIA once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available