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Roboflow MCP Server for VS Code CopilotGive VS Code Copilot instant access to 29 tools to Add Projects To Folder, Auto Label, Cancel Training, and more

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GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Ask AI about this MCP Server for VS Code Copilot

The Roboflow MCP Server for VS Code Copilot 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

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Classic Setup·json
{
  "mcpServers": {
    "roboflow": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
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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.

GitHub Copilot Agent mode brings Roboflow data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 29 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

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 VS Code Copilot 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 VS Code Copilot

When VS Code Copilot 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 VS Code Copilot via MCP

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

01

Create MCP config

Create a .vscode/mcp.json file in your project root
02

Add the server config

Paste the JSON configuration above
03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown
04

Start using Roboflow

Ask Copilot: "Using Roboflow, help me...". 29 tools available

Why Use VS Code Copilot with the Roboflow MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Roboflow through the Model Context Protocol.

01

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

02

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

03

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

04

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Roboflow + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Roboflow MCP Server delivers measurable value.

01

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

02

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

03

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

04

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Example Prompts for Roboflow in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot 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 VS Code Copilot

Common issues when connecting Roboflow to VS Code Copilot through Vinkius, and how to resolve them.

01

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Roboflow + VS Code Copilot FAQ

Common questions about integrating Roboflow MCP Server with VS Code Copilot.

01

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.
02

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.
03

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.
04

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.

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