Roboflow MCP Server for Claude CodeGive Claude Code instant access to 29 tools to Add Projects To Folder, Auto Label, Cancel Training, and more
Claude Code is Anthropic's agentic CLI for terminal-first development. Add Roboflow as an MCP server in one command and Claude Code will discover every tool at runtime. ideal for automation pipelines, CI/CD integration, and headless workflows via Vinkius.
Ask AI about this MCP Server for Claude Code
The Roboflow MCP Server for Claude Code is a standout in the Developer Tools category — giving your AI agent 29 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
# Your Vinkius token. get it at cloud.vinkius.com
claude mcp add roboflow --transport http "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"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.





* 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.
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.
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 Claude Code 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 Claude Code
When Claude Code 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 projects to folder on Roboflow
Add projects to a folder (Enterprise)
Auto label on Roboflow
Start an auto-labeling job using foundation models
Cancel training on Roboflow
Cancel an active training job
Create annotation job on Roboflow
Assign a batch of images to a labeler and reviewer
Create folder on Roboflow
Create a project folder (Enterprise)
Create project on Roboflow
Create a new project in a workspace
Delete images on Roboflow
Delete multiple images from a project
Delete project on Roboflow
Delete a project or version (moves to Trash)
Download dataset on Roboflow
Retrieve a download link for a zipped dataset in a specific format
Fork universe project on Roboflow
Fork a public project from Roboflow Universe
Get async task on Roboflow
Track long-running operations like forking or large exports
Get dataset health on Roboflow
Check dataset health (class distribution, missing annotations, etc)
Get image on Roboflow
Get details for a specific image
Get project on Roboflow
Get project details, metadata, and versions
Get root on Roboflow
Verify authentication and retrieve default workspace
Get training results on Roboflow
Retrieve metrics and status for a version training run
Get version on Roboflow
Retrieve metadata for a specific dataset version
List folders on Roboflow
List project folders in a workspace (Enterprise)
List trash on Roboflow
List items in the workspace trash
List workspace projects on Roboflow
List information about a workspace and its projects
Manage image tags on Roboflow
Add, remove, or set tags on an image
Restore trash on Roboflow
Restore an item from the trash
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 training on Roboflow
Start training a model on a dataset version
Stop training on Roboflow
Early stop an active training job
Upload annotation on Roboflow
Attach an annotation file to an existing image
Upload image on Roboflow
Upload an image to a project
Connect Roboflow to Claude Code via MCP
Follow these steps to wire Roboflow into Claude Code. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Claude Code
npm install -g @anthropic-ai/claude-code if not already installedAdd the MCP Server
Verify the connection
claude mcp to list connected servers, or type /mcp inside a sessionStart using Roboflow
Why Use Claude Code with the Roboflow MCP Server
Claude Code provides unique advantages when paired with Roboflow through the Model Context Protocol.
Single-command setup: `claude mcp add` registers 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 + Claude Code Use Cases
Practical scenarios where Claude Code combined with the Roboflow MCP Server delivers measurable value.
CI/CD integration: embed Roboflow tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping
Headless batch processing: schedule Claude Code to query Roboflow nightly and generate reports without human intervention
Shell scripting: pipe Roboflow outputs into other CLI tools for data transformation, filtering, and aggregation
Infrastructure monitoring: run Claude Code in a cron job to query Roboflow status endpoints and alert on anomalies
Example Prompts for Roboflow in Claude Code
Ready-to-use prompts you can give your Claude Code 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 Claude Code
Common issues when connecting Roboflow to Claude Code through Vinkius, and how to resolve them.
Command not found: claude
npm install -g @anthropic-ai/claude-codeConnection timeout
Roboflow + Claude Code FAQ
Common questions about integrating Roboflow MCP Server with Claude Code.
How do I add an MCP server to Claude Code?
claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.Can Claude Code run MCP tools in headless mode?
How do I list all connected MCP servers?
claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.Explore More MCP Servers
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