NVIDIA AI MCP Server for Windsurf 9 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect NVIDIA AI through the Vinkius and Cascade will auto-discover every tool — ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install NVIDIA AI and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"nvidia-ai": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About NVIDIA AI MCP Server
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.
Windsurf's Cascade agent chains multiple NVIDIA AI tool calls autonomously — query data, analyze results, and generate code in a single agentic session. Paste the Vinkius Edge URL, reload, and all 9 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
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
The NVIDIA AI MCP Server exposes 9 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect NVIDIA AI to Windsurf via MCP
Follow these steps to integrate the NVIDIA AI MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using NVIDIA AI
Open Cascade and ask: "Using NVIDIA AI, help me..." — 9 tools available
Why Use Windsurf with the NVIDIA AI MCP Server
Windsurf provides unique advantages when paired with NVIDIA AI through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows — Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 9 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
NVIDIA AI + Windsurf Use Cases
Practical scenarios where Windsurf combined with the NVIDIA AI MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from NVIDIA AI and generate models, types, or handlers based on real API responses
Live debugging: query NVIDIA AI tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from NVIDIA AI and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine NVIDIA AI data with Cascade's code generation to scaffold entire features in minutes
NVIDIA AI MCP Tools for Windsurf (9)
These 9 tools become available when you connect NVIDIA AI to Windsurf via MCP:
analyze_sentiment
Analyze the sentiment of a text
ask_question
Optionally provide context for better answers. Ask a question to a powerful reasoning model (405B params)
chat_completion
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)
generate_code
Specify language if needed. Generate code from a natural language prompt
get_embeddings
Model: "nvidia/nv-embed-v1". Generate vector embeddings from text
list_models
List all available AI models on the NVIDIA API Catalog
summarize_text
Summarize long text into a concise version
text_to_sql
Convert natural language to SQL query
translate_text
Translate text to another language
Example Prompts for NVIDIA AI in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with NVIDIA AI immediately.
"Generate Python code for a REST API with FastAPI."
"Translate 'Hello, how are you?' to Japanese."
"Summarize: The quarterly report shows revenue grew 15% YoY..."
Troubleshooting NVIDIA AI MCP Server with Windsurf
Common issues when connecting NVIDIA AI to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
NVIDIA AI + Windsurf FAQ
Common questions about integrating NVIDIA AI MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.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.
Connect NVIDIA AI to Windsurf
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.