Roboflow MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 29 tools to Add Projects To Folder, Auto Label, Cancel Training, and more

Name: Roboflow
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Roboflow MCP Server for OpenAI Agents SDK is a standout in the Developer Tools category — giving your AI agent 29 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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="Roboflow Assistant",
            instructions=(
                "You help users interact with Roboflow. "
                "You have access to 29 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Roboflow"
        )
        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 Roboflow MCP Server

Connect Roboflow to your AI agent to streamline your computer vision pipeline. From dataset management to model training and inference, handle your entire CV lifecycle through natural language.

The OpenAI Agents SDK auto-discovers all 29 tools from Roboflow through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Roboflow, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Workspace & Project Management — List projects, create new ones, or fork from Roboflow Universe to jumpstart your development.
Dataset Operations — Upload images (via URL or Base64), manage versions, and download datasets in various formats like COCO or YOLO.
Model Training — Start training runs, monitor results, and retrieve precise performance metrics (mAP, precision, recall) for any version.
Image Search — Search and filter images within your workspace to audit your data and improve model accuracy.
Inference & Results — Run inference on images and retrieve results to verify model behavior in real-time.

The Roboflow MCP Server exposes 29 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 29 Roboflow tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Roboflow through Vinkius, your AI agent gets direct access to every tool listed below — spanning computer-vision, dataset-management, model-training, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add projects to folder on Roboflow

Add projects to a folder (Enterprise)

auto

Auto label on Roboflow

Start an auto-labeling job using foundation models

cancel

Cancel training on Roboflow

Cancel an active training job

create

Create annotation job on Roboflow

Assign a batch of images to a labeler and reviewer

create

Create folder on Roboflow

Create a project folder (Enterprise)

create

Create project on Roboflow

Create a new project in a workspace

delete

Delete images on Roboflow

Delete multiple images from a project

delete

Delete project on Roboflow

Delete a project or version (moves to Trash)

download

Download dataset on Roboflow

Retrieve a download link for a zipped dataset in a specific format

fork

Fork universe project on Roboflow

Fork a public project from Roboflow Universe

get

Get async task on Roboflow

Track long-running operations like forking or large exports

get

Get dataset health on Roboflow

Check dataset health (class distribution, missing annotations, etc)

get

Get image on Roboflow

Get details for a specific image

get

Get project on Roboflow

Get project details, metadata, and versions

get

Get root on Roboflow

Verify authentication and retrieve default workspace

get

Get training results on Roboflow

Retrieve metrics and status for a version training run

get

Get version on Roboflow

Retrieve metadata for a specific dataset version

list

List folders on Roboflow

List project folders in a workspace (Enterprise)

list

List trash on Roboflow

List items in the workspace trash

list

List workspace projects on Roboflow

List information about a workspace and its projects

manage

Manage image tags on Roboflow

Add, remove, or set tags on an image

restore

Restore trash on Roboflow

Restore an item from the trash

run

Run inference on Roboflow

Run inference on an image using hosted models

Search project images on Roboflow

Search and filter images within a specific project

Search workspace images on Roboflow

Search and filter images within a workspace

start

Start training on Roboflow

Start training a model on a dataset version

stop

Stop training on Roboflow

Early stop an active training job

upload

Upload annotation on Roboflow

Attach an annotation file to an existing image

upload

Upload image on Roboflow

Upload an image to a project

Connect Roboflow to OpenAI Agents SDK via MCP

Follow these steps to wire Roboflow into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 29 tools from Roboflow

Why Use OpenAI Agents SDK with the Roboflow MCP Server

OpenAI Agents SDK provides unique advantages when paired with Roboflow 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

Roboflow + OpenAI Agents SDK Use Cases

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

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

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

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

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

Example Prompts for Roboflow in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Roboflow immediately.

"List all projects in my Roboflow workspace 'industrial-safety'."

"Upload this image URL to the 'Hard Hat Detection' project in workspace 'industrial-safety'."

"Show me the training metrics for version 5 of the 'Forklift Tracking' project."

Troubleshooting Roboflow MCP Server with OpenAI Agents SDK

Common issues when connecting Roboflow to OpenAI Agents SDK through 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.

Roboflow + OpenAI Agents SDK FAQ

Common questions about integrating Roboflow 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.