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Computer Vision Tools logo

Computer Vision Tools

omidsrezai/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.

View on GitHub1

Install

docker run --gpus all -p 6070:6070 flux-schnell

Client configuration

{
  "mcpServers": {
    "object_detection": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/object_detection_mcp",
        "run",
        "object_detector.py"
      ],
      "env": {
        "YOLO_MODEL_NAME": "<YOLO_MODEL_NAME>",
        "YOLO_CONF_THRESHOLD": "<YOLO_CONF_THRESHOLD>",
        "MINIO_URL": "<MINIO_URL>",
        "MINIO_ACCESS_KEY": "<MINIO_ACCESS_KEY>",
        "MINIO_SECRET_KEY": "<MINIO_SECRET_KEY>"
      }
    }
  }
}

Environment variables

YOLO_MODEL_NAMEYOLO_CONF_THRESHOLDMINIO_URLMINIO_ACCESS_KEYMINIO_SECRET_KEY
GitHub stars
1
Author
@omidsrezai
Category
Image & Video, AI Chatbot
Updated
Oct 6, 2026

Details on this page are taken from the project's README. Open README

Supported clients

Clients mentioned in this server's README:

View all
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