The Roboflow MCP Server enables programmatic management of Roboflow datasets and projects from MCP-compatible clients (e.g., Claude Desktop, Cursor). Key capabilities include:

Workspace & Project Management

• Retrieve workspace metadata and list all projects

• Get detailed project info (classes, image count, splits)

Image Management

• Upload single or batch images via URL, local file path, or base64 encoding

• Search images by tag, class name, or semantic prompt (with pagination)

• Retrieve image metadata or delete images

• List upload batches for a project

Image Tagging

• Add, remove, or replace tags on images

Annotation Management

• Upload annotations in COCO, YOLO, Pascal VOC, CreateML, or Roboflow JSON format

• List annotation jobs with optional status filtering

• Promote fully-reviewed annotation jobs into the dataset with configurable train/valid/test splits

Dataset Versioning & Export

• List, get, create, and delete dataset versions

• Initiate async version generation with custom preprocessing and augmentation settings

• Poll generation status (queued, generating, ready, failed)

• Export versions in formats like COCO, YOLOv5/v8/v11, Pascal VOC, TFRecord, and more

• Download exported dataset ZIP files to disk

Safety Controls Destructive operations (delete image, delete version, download to disk, etc.) require explicit confirmation and appropriate server mode.

Exposes the Roboflow API to manage datasets, upload and tag images, push annotations, and inspect projects.

1. Click on "Install Server".

2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.

3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Roboflow MCP Server list datasets in my workspace"

That's it! The server will respond to your query, and you can continue using it as needed.

Here is a step-by-step guide with screenshots.