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Roboflow MCP
👁️

Roboflow MCP MCP Server

Computer vision platform for dataset management and model training.

roboflowcomputer-visionmlimages

About

## Roboflow MCP Server: Computer Vision Made Easy The **Roboflow MCP Server** integrates Roboflow's end-to-end computer vision platform into Google Antigravity. This platform provides everything needed for building vision AI applications, from dataset management to model training and deployment. ### Why Roboflow MCP? Roboflow streamlines computer vision development: - **Dataset Management**: Annotate, augment, version datasets - **AutoML Training**: Train models without ML expertise - **Instant Deployment**: Deploy models in one click - **Pre-built Models**: Access to trained model universe - **Antigravity Native**: AI-assisted vision development ### Key Features #### 1. Dataset Operations ```python from roboflow import Roboflow rf = Roboflow(api_key="your-key") project = rf.workspace("your-workspace").project("your-project") # Upload images project.upload("image.jpg") # Download annotated dataset dataset = project.version(1).download("yolov8") ``` #### 2. Model Inference ```python # Use hosted model model = project.version(1).model # Run inference on image prediction = model.predict("test.jpg", confidence=40, overlap=30) prediction.save("result.jpg") # Batch processing predictions = model.predict( image_dir="./images/", confidence=50 ) ``` #### 3. Pre-trained Models ```python # Access Roboflow Universe models universe_model = rf.universe("public-models").project("coco").version(1).model # Detect common objects results = universe_model.predict("photo.jpg") for detection in results.predictions: print(f"{detection.class_name}: {detection.confidence:.2f}") ``` ### Configuration ```json { "mcpServers": { "roboflow": { "command": "npx", "args": ["-y", "@anthropic/mcp-roboflow"], "env": { "ROBOFLOW_API_KEY": "your-api-key", "ROBOFLOW_WORKSPACE": "your-workspace" } } } } ``` ### Use Cases **Object Detection**: Build custom detectors for products, defects, or any visual objects. **Image Classification**: Categorize images automatically for content moderation or organization. **Instance Segmentation**: Precise pixel-level segmentation for medical imaging or manufacturing. The Roboflow MCP Server enables rapid computer vision development in Antigravity.

Installation

Configuration
{
  "mcpServers": {
    "roboflow": {}
  }
}

How to Use

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