YOLO-MCP-Server
The YOLO MCP Service provides advanced computer vision capabilities by integrating YOLO models with Claude AI using the Model Context Protocol. It facilitates object detection, segmentation, and real-time camera analysis, along with model training and export functionalities. This service enables seamless computer vision tasks within the Claude AI ecosystem.
YOLO MCP Service
A powerful computer vision service that integrates with Claude AI through the Model Context Protocol (MCP). This service supports object detection, segmentation, classification, and real-time camera analysis using YOLO models.
Features
- Object detection, segmentation, classification, and pose estimation
- Real-time camera integration
- Model training, validation, and export
- Combines multiple models for image analysis
- Integrates with Claude AI
Setup Instructions
Prerequisites
- Python 3.10+
Environment Setup
- Create project directory
- Clone repository or copy files
- Create and activate virtual environment
- Run setup script to install dependencies and configure MCP
Downloading YOLO Models
Download models to models directory using provided links.
Using YOLO Tools in Claude
Use commands for model checking, image analysis, segmentation, classification, and camera usage.
Troubleshooting
Provides solutions for camera issues, model-not-found errors, and performance enhancement tips.