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

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Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

Ask AI about this MCP Server for Cursor

The Roboflow MCP Server for Cursor 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

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Classic Setup·json
{
  "mcpServers": {
    "roboflow": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Roboflow and 4,000+ MCP Servers from a single visual interface.

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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.

Cursor's Agent mode turns Roboflow into an in-editor superpower. Ask Cursor to generate code using live data from Roboflow and it fetches, processes, and writes. all in a single agentic loop. 29 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

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 Cursor 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 Cursor

When Cursor 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 Cursor via MCP

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

01

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
02

Add the server config

Paste the JSON configuration above into the mcp.json file that opens
03

Save the file

Cursor will automatically detect the new MCP server
04

Start using Roboflow

Open Agent mode in chat and ask: "Using Roboflow, help me...". 29 tools available

Why Use Cursor with the Roboflow MCP Server

Cursor AI Code Editor provides unique advantages when paired with Roboflow through the Model Context Protocol.

01

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

02

Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

03

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

04

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

Roboflow + Cursor Use Cases

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

01

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

02

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

03

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

04

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

Example Prompts for Roboflow in Cursor

Ready-to-use prompts you can give your Cursor 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 Cursor

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

01

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.
02

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

Roboflow + Cursor FAQ

Common questions about integrating Roboflow MCP Server with Cursor.

01

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.
02

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.
03

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.
04

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.

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