How to Use the NVIDIA Vision MCP in OpenAI Agents SDK
Connect the NVIDIA Vision MCP Server to your OpenAI Agents SDK for secure, guarded image analysis and generation.
Works with every AI agent you already use
…and any MCP-compatible client
Connect NVIDIA Vision MCP to OpenAI Agents SDK
Create your Vinkius account to connect NVIDIA Vision to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Run `detect_objects` inside your OpenAI Agents SDK
The `detect_objects` tool lets your agent analyze images and identify objects directly within your safety-constrained pipelines. By exposing this capability to your agent, you can extract spatial coordinates and labels without writing custom parsing code. It fits right into your agent's decision loops. When you pass this tool through the MCP Server interface, the SDK handles argument verification before the model executes. This prevents the model from passing invalid image payloads to the NVIDIA API.
Parse receipts and forms with `document_qa`
The `document_qa` tool processes scanned documents, receipts, and forms to answer complex textual questions about their layout and content. Your agent can call this tool to extract raw text and structural data in a single step. Because OpenAI Agents SDK supports direct handoffs, you can have a specialized document agent run this tool and then pass the structured text back to a billing agent. It keeps your main agent focused on logic rather than parsing messy visual data.
Generate images using `generate_image` on demand
The `generate_image` tool outputs high-resolution images using Stable Diffusion models based on text prompts from your agent. It supports standard 1024x1024 formats, letting your agent create visual mockups during conversations. You can monitor these generation steps in your OpenAI dashboard since every MCP tool call is traced automatically. This gives you complete visibility into model selection and prompt tokens.
Set up NVIDIA Vision MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all NVIDIA Vision tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives NVIDIA Vision tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate NVIDIA Vision tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="NVIDIA Vision Agent",
instructions="You have access to NVIDIA Vision tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by NVIDIA. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about NVIDIA Vision MCP in OpenAI Agents SDK
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