NVIDIA Vision MCP Server for Mastra AI 9 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect NVIDIA Vision through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"nvidia-vision": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "NVIDIA Vision Agent",
instructions:
"You help users interact with NVIDIA Vision " +
"using 9 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with NVIDIA Vision?"
);
console.log(result.text);
}
main();
* 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 Vision MCP Server
Connect NVIDIA Vision to any AI agent and unlock powerful image understanding and generation — create images with Stable Diffusion, analyze visuals with Kosmos-2, answer questions about images, and perform object detection through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and NVIDIA Vision tool infrastructure. Connect 9 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
What you can do
- Generate Images — Create images from text prompts using Stable Diffusion models
- Visual Q&A — Ask questions about any image and get detailed answers
- Image Captioning — Generate detailed descriptions of image contents
- Object Detection — Identify and list all objects visible in an image
- Document Understanding — Extract information from scanned documents and forms
- Visual Grounding — Locate specific objects or phrases within images
- Style Transfer — Apply artistic styles to existing images
- Image Segmentation — Segment images into distinct object regions
The NVIDIA Vision MCP Server exposes 9 tools through the Vinkius. Connect it to Mastra AI 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 Vision to Mastra AI via MCP
Follow these steps to integrate the NVIDIA Vision MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 9 tools from NVIDIA Vision via MCP
Why Use Mastra AI with the NVIDIA Vision MCP Server
Mastra AI provides unique advantages when paired with NVIDIA Vision through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add NVIDIA Vision without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every NVIDIA Vision tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
NVIDIA Vision + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the NVIDIA Vision MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query NVIDIA Vision, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed NVIDIA Vision as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query NVIDIA Vision on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using NVIDIA Vision tools alongside other MCP servers
NVIDIA Vision MCP Tools for Mastra AI (9)
These 9 tools become available when you connect NVIDIA Vision to Mastra AI via MCP:
detect_objects
Detect and list all objects in an image
document_qa
Works with scanned documents, forms, receipts. Ask questions about a document image (OCR + understanding)
generate_image
Model options: "stabilityai/stable-diffusion-3-medium", "stabilityai/stable-diffusion-xl-base-1.0". Size format: "1024x1024". Generate an image from a text prompt using Stable Diffusion
image_captioning
Generate a detailed caption for an image
image_segmentation
Segment and identify all objects in an image
list_vision_models
List available vision models on NVIDIA API Catalog
style_transfer
Apply an artistic style to an image
visual_grounding
Locate a specific object or phrase in an image
visual_question_answering
Provide a public image URL. Ask a question about an image
Example Prompts for NVIDIA Vision in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with NVIDIA Vision immediately.
"Generate an image of a futuristic city at sunset."
"What objects do you see in this image: https://example.com/photo.jpg"
"Describe this image in detail: https://example.com/document.png"
Troubleshooting NVIDIA Vision MCP Server with Mastra AI
Common issues when connecting NVIDIA Vision to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpNVIDIA Vision + Mastra AI FAQ
Common questions about integrating NVIDIA Vision MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect NVIDIA Vision 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 Vision to Mastra AI
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.