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Roboflow MCP Server for AutoGenGive AutoGen instant access to 29 tools to Add Projects To Folder, Auto Label, Cancel Training, and more

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Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Roboflow as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Ask AI about this MCP Server for AutoGen

The Roboflow MCP Server for AutoGen 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 autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="roboflow_agent",
            tools=tools,
            system_message=(
                "You help users with Roboflow. "
                "29 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())
Roboflow
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Roboflow tools. Connect 29 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen

When AutoGen 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

Search project images on Roboflow

Search and filter images within a specific project

search

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 AutoGen via MCP

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

01

Install AutoGen

Run pip install "autogen-ext[mcp]"
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration
04

Explore tools

The workbench discovers 29 tools from Roboflow automatically

Why Use AutoGen with the Roboflow MCP Server

AutoGen provides unique advantages when paired with Roboflow through the Model Context Protocol.

01

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Roboflow tools to solve complex tasks

02

Role-based architecture lets you assign Roboflow tool access to specific agents. a data analyst queries while a reviewer validates

03

Human-in-the-loop support: agents can pause for human approval before executing sensitive Roboflow tool calls

04

Code execution sandbox: AutoGen agents can write and run code that processes Roboflow tool responses in an isolated environment

Roboflow + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Roboflow MCP Server delivers measurable value.

01

Collaborative analysis: one agent queries Roboflow while another validates results and a third generates the final report

02

Automated review pipelines: a researcher agent fetches data from Roboflow, a critic agent evaluates quality, and a writer produces the output

03

Interactive planning: agents negotiate task allocation using Roboflow data to make informed decisions about resource distribution

04

Code generation with live data: an AutoGen coder agent writes scripts that process Roboflow responses in a sandboxed execution environment

Example Prompts for Roboflow in AutoGen

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

01

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

02

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

03

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

Troubleshooting Roboflow MCP Server with AutoGen

Common issues when connecting Roboflow to AutoGen through Vinkius, and how to resolve them.

01

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Roboflow + AutoGen FAQ

Common questions about integrating Roboflow MCP Server with AutoGen.

01

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Roboflow tools during their conversation turns.
02

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
03

Does AutoGen support human approval for tool calls?

Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.

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