Bring Computer Vision
to Claude Code
Learn how to connect Roboflow to Claude Code and start using 29 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your Roboflow Private API Key
- Start building and managing vision models from Claude, Cursor, or any MCP-compatible client
Who is this for?
- ML Engineers — monitor training progress and dataset health without leaving the terminal or IDE.
- Data Scientists — quickly query dataset versions and export data for custom training scripts.
- Product Teams — audit model performance and visualize inference results through simple conversation.
Built-in capabilities (29)
Add projects to a folder (Enterprise)
Start an auto-labeling job using foundation models
Cancel an active training job
Assign a batch of images to a labeler and reviewer
Create a project folder (Enterprise)
Create a new project in a workspace
Delete multiple images from a project
Delete a project or version (moves to Trash)
Retrieve a download link for a zipped dataset in a specific format
Fork a public project from Roboflow Universe
Track long-running operations like forking or large exports
Check dataset health (class distribution, missing annotations, etc)
Get details for a specific image
Get project details, metadata, and versions
Verify authentication and retrieve default workspace
Retrieve metrics and status for a version training run
Retrieve metadata for a specific dataset version
List project folders in a workspace (Enterprise)
List items in the workspace trash
List information about a workspace and its projects
Add, remove, or set tags on an image
Restore an item from the trash
Run inference on an image using hosted models
Search and filter images within a specific project
Search and filter images within a workspace
Start training a model on a dataset version
Early stop an active training job
Attach an annotation file to an existing image
Upload an image to a project
Why Claude Code?
Claude Code registers Roboflow as an MCP server in a single terminal command. Once connected, Claude Code discovers all 29 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Roboflow data drives decisions without human intervention.
- —
Single-command setup:
claude mcp addregisters the server instantly. no config files to edit or applications to restart - —
Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks
- —
Claude Code runs headlessly, enabling unattended batch processing using Roboflow tools in cron jobs or deployment scripts
- —
Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features
Roboflow in Claude Code
Roboflow and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Roboflow to Claude Code through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Roboflow in Claude Code
The Roboflow 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. All 29 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Claude Code only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Roboflow for Claude Code
Every tool call from Claude Code to the Roboflow MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I verify if my Roboflow API key is correctly configured?
You can use the get_root tool. It will attempt to authenticate with your key and return the default workspace details if successful.
Can I get the training performance metrics for a specific model version?
Yes! Use the get_training_results tool by providing the workspace, project, and version ID. It returns mAP, precision, recall, and other training metrics.
Is it possible to export my dataset to a specific format like YOLOv5?
Absolutely. Use the download_dataset tool and specify the format parameter (e.g., 'yolov5pytorch') to receive a download link for your zipped dataset.
How do I add an MCP server to Claude Code?
Run claude mcp add <name> --transport http "<url>" in your terminal. Claude Code registers the server and discovers all tools immediately.
Can Claude Code run MCP tools in headless mode?
Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.
How do I list all connected MCP servers?
Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.
Command not found: claude
Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code
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