agentic-vision

agentic-vision

Enables LLMs to autonomously analyze camera images for occupational safety violations, generate risk reports per ISG regulations, and log violations to a database.

Category
访问服务器

README

👷‍♂️ Agentic Vision: Autonomous ISG Inspection Agent (MCP + YOLOv8 + Supabase)

Python Version

This project is an autonomous Occupational Health and Safety (ISG) inspection system based on Model Context Protocol (MCP), giving Large Language Models (LLMs) the ability to "see", "interpret", and "take action" in the real world.

Unlike standard object detection projects, it is built on an "Agentic Workflow". Claude 3.5 Sonnet autonomously finds camera recordings in the system, analyzes them, and produces a risk report according to ISG regulations.

Table of Contents

🚀 Features

  • Model Context Protocol (MCP): Secure access for LLM to local file system and custom APIs.
  • Autonomous Analysis: Automatic detection and analysis of the latest image dropped in the "images" folder.
  • Smart Reporting: Converting raw JSON data into a meaningful report according to ISG Law No. 6331.
  • Corporate Memory: Instant logging of all violations to Supabase (PostgreSQL) database.
  • Modern Architecture: FastAPI (Asynchronous) + Roboflow (Cloud Inference).

🛠️ Architecture

graph TD
    A[Claude Desktop / LLM] -->|MCP Request| B(MCP Server - FastMCP)
    B -->|Scan Images| C{Local Storage}
    B -->|POST /analyze| D[FastAPI Backend]
    D -->|Inference Request| E((Roboflow Cloud API))
    E -->|JSON Result| D
    D -->|Insert Log| F[(Supabase DB)]
    D -->|Formatted Result| B
    B -->|Agentic Report| A

📦 Installation

Prerequisites

  • Python 3.10+
  • Conda or virtualenv

Steps

  1. Clone the repository:

    git clone https://github.com/fatihberkanteren/agentic-vision-server.git
    cd agentic-vision-server
    
  2. Create and activate environment:

    conda create -n agentic-vision python=3.10 -y
    conda activate agentic-vision
    pip install -r requirements.txt
    

⚙️ Configuration

Create a .env file and enter your information:

ROBOFLOW_API_KEY=your_api_key
SUPABASE_URL=your_project_url
SUPABASE_KEY=your_service_key

Claude Desktop Integration

Add the following to the mcpServers section in your Claude Desktop settings (claude_desktop_config.json):

{
  "mcpServers": {
    "agentic-vision": {
      "command": "C:/path/to/your/python.exe",
      "args": ["mcp_server.py"]
    }
  }
}

🎯 Usage

After the system is up, simply give this command to Claude:

"Check the field cameras, report if there is an ISG violation and log to the database."

The agent will find the latest photo in the images/ folder, detect personnel missing helmets/vests, and provide you with a professional inspection report.

🤝 Contributing

Contributions are welcome! Please open an issue or submit a pull request.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选