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    Cv Mcp Tools

    A repository showcasing integration of specialized computer vision tools with language models through MCP.

    1 stars
    Python
    Updated Aug 13, 2025

    Table of Contents

    • 🔧 Components
    • MCP Servers
    • Standalone Services
    • 🚀 Quick Start
    • Prerequisites
    • Running MCP Servers
    • Running Standalone Services
    • 🔗 Integration with Claude Desktop
    • 📁 Repository Structure
    • 🎯 Use Cases
    • 📖 Documentation

    Table of Contents

    • 🔧 Components
    • MCP Servers
    • Standalone Services
    • 🚀 Quick Start
    • Prerequisites
    • Running MCP Servers
    • Running Standalone Services
    • 🔗 Integration with Claude Desktop
    • 📁 Repository Structure
    • 🎯 Use Cases
    • 📖 Documentation

    Documentation

    CV MCP Tools

    A collection of Model Context Protocol (MCP) servers and services that integrate specialized computer vision capabilities with language models. This repository demonstrates how to build modular CV tools that can be easily composed and orchestrated through MCP.

    🔧 Components

    MCP Servers

    • **Object Detection MCP** - YOLO-based object detection with MinIO integration
    • **OCR + Image Generation MCP** - Combined OCR and image generation with iterative validation workflows

    Standalone Services

    • **Image Generator Server** - FLUX.1-schnell diffusion model service
    • **OCR Server** - Multi-model OCR service (Qwen-VL, Janus)

    🚀 Quick Start

    Prerequisites

    • Python 3.11+
    • UV package manager
    • Docker with GPU support
    • MinIO server (for MCP servers)

    Running MCP Servers

    bash
    # Object Detection
    cd object_detection_mcp
    uv run object_detector.py
    
    # OCR + Image Generation  
    cd ocr_imagen_mcp
    uv run ocr_imagen.py

    Running Standalone Services

    bash
    # Image Generator
    docker buildx build -t flux-schnell -f image_generator_server/Dockerfile .
    docker run --gpus all -p 6070:6070 flux-schnell
    
    # OCR Server
    docker buildx build -t ocr-server -f ocr_server/Dockerfile .
    docker run --gpus all -p 6080:6080 -p 6081:6081 ocr-server

    🔗 Integration with Claude Desktop

    Add to your Claude Desktop configuration:

    json
    {
        "mcpServers": {
            "object_detection": {
                "command": "uv",
                "args": ["--directory", "/path/to/object_detection_mcp", "run", "object_detector.py"],
                "env": {
                    "YOLO_MODEL_NAME": "yolo11m.pt",
                    "YOLO_CONF_THRESHOLD": "0.45",
                    "MINIO_URL": "localhost:9000",
                    "MINIO_ACCESS_KEY": "your-key",
                    "MINIO_SECRET_KEY": "your-secret"
                }
            }
        }
    }

    📁 Repository Structure

    code
    cv-mcp-tools/
    ├── object_detection_mcp/     # YOLO object detection MCP server
    ├── ocr_imagen_mcp/          # Combined OCR + image generation MCP
    ├── image_generator_server/   # Standalone FLUX image generation service
    ├── ocr_server/              # Standalone OCR service
    └── CLAUDE.md                # Development guide for Claude Code

    🎯 Use Cases

    • Automated Content Analysis - Object detection and OCR for document processing
    • Iterative Image Generation - Generate images with text validation loops
    • Multi-Modal Workflows - Combine vision and language models for complex tasks
    • Modular CV Pipeline - Mix and match components as needed

    📖 Documentation

    Each component has its own README with detailed setup instructions:

    • Object Detection MCP Setup
    • OCR + Image Generation MCP Setup
    • Image Generator Service Setup
    • OCR Service Setup

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