NVIDIA AI MCP Server
Access LLMs, embeddings, code generation, and reasoning via NVIDIA API Catalog.
Ask AI about this MCP Server
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What is the NVIDIA MCP Server?
The NVIDIA MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to NVIDIA via 9 tools. Access LLMs, embeddings, code generation, and reasoning via NVIDIA API Catalog. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (9)
Tools for your AI Agents to operate NVIDIA
Ask your AI agent "Generate Python code for a REST API with FastAPI." and get the answer without opening a single dashboard. With 9 tools connected to real NVIDIA data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
NVIDIA AI MCP Server capabilities
9 toolsAnalyze the sentiment of a text
Optionally provide context for better answers. Ask a question to a powerful reasoning model (405B params)
Use "model" to specify which AI model (e.g., "meta/llama-3.1-70b-instruct", "mistralai/mistral-large"). Messages should be in OpenAI format: [{role: "user", content: "..."}]. Chat with an NVIDIA AI model (Llama, Mistral, etc)
Specify language if needed. Generate code from a natural language prompt
Model: "nvidia/nv-embed-v1". Generate vector embeddings from text
List all available AI models on the NVIDIA API Catalog
Summarize long text into a concise version
Convert natural language to SQL query
Translate text to another language
What the NVIDIA AI MCP Server unlocks
Connect NVIDIA AI to any AI agent and harness the power of GPU-accelerated foundation models — chat with Llama, generate embeddings, write code with CodeLlama, translate text, and perform complex reasoning through the NVIDIA API Catalog.
What you can do
- Chat with LLMs — Access Llama 3.1, Mistral, Nemotron, and more via chat completions
- Generate Embeddings — Create vector embeddings for search and clustering
- Code Generation — Write code from natural language prompts using CodeLlama
- Summarization — Condense long documents into concise summaries
- Translation — Neural translation between dozens of languages
- Text-to-SQL — Convert natural language questions into SQL queries
- Sentiment Analysis — Analyze the emotional tone of text
- Complex Reasoning — Ask questions to the 405B-parameter reasoning model
How it works
1. Subscribe to this server 2. Enter your NVIDIA API Key (from build.nvidia.com) 3. Start running AI models from Claude, Cursor, or any MCP-compatible clientWho is this for?
- Developers — Prototype AI features without managing GPU infrastructure
- Data Scientists — Generate embeddings and run NLP tasks at scale
- Business Analysts — Use text-to-SQL to query databases with natural language
Frequently asked questions about the NVIDIA AI MCP Server
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 tool 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 tool 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.
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Connect NVIDIA AI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of NVIDIA MCP Server
Production-grade NVIDIA AI MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.