Can I generate images from text?

Yes! Use the `generate_image` tool with Stable Diffusion models. Provide a descriptive prompt and optionally specify size (e.g., '1024x1024').

Can I ask questions about an image?

Yes! Use `visual_question_answering` with a public image URL and your question. The AI will analyze and respond with details about the image.

Does it work with scanned documents?

Yes! Use `document_qa` to extract information from scanned documents, forms, receipts, and other image-based documents.

What image sizes can I generate?

Stable Diffusion models support various sizes including 512x512, 768x768, and 1024x1024. Higher resolutions produce more detailed images but take longer to generate.

NVIDIA Vision MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes

Name: NVIDIA Vision
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 9 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect NVIDIA Vision through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="NVIDIA Vision Assistant",
            instructions=(
                "You help users interact with NVIDIA Vision. "
                "You have access to 9 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from NVIDIA Vision"
        )
        print(result.final_output)

asyncio.run(main())

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* 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.

The OpenAI Agents SDK auto-discovers all 9 tools from NVIDIA Vision through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries NVIDIA Vision, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the NVIDIA Vision MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 9 tools from NVIDIA Vision

Why Use OpenAI Agents SDK with the NVIDIA Vision MCP Server

OpenAI Agents SDK provides unique advantages when paired with NVIDIA Vision through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

NVIDIA Vision + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the NVIDIA Vision MCP Server delivers measurable value.

Automated workflows: build agents that query NVIDIA Vision, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries NVIDIA Vision, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through NVIDIA Vision tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query NVIDIA Vision to resolve tickets, look up records, and update statuses without human intervention

NVIDIA Vision MCP Tools for OpenAI Agents SDK (9)

These 9 tools become available when you connect NVIDIA Vision to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting NVIDIA Vision to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

NVIDIA Vision + OpenAI Agents SDK FAQ

Common questions about integrating NVIDIA Vision MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.