SUMO-MCP-Server enables simulation and control of intelligent traffic systems for efficient transportation management. It provides a robust platform for analyzing traffic patterns and optimizing transportation networks.
SUMO-MCP-Server is a Model Context Protocol (MCP) server that integrates SUMO (Simulation of Urban Mobility) for comprehensive traffic simulation and management. It allows users to simulate intelligent traffic systems, control transportation networks, and analyze traffic patterns for urban mobility optimization. The tool bridges SUMO's powerful simulation capabilities with MCP-compatible AI platforms.
Installation requires: 1) Clone the SUMO-MCP-Server repository from GitHub, 2) Install required dependencies (Go/C# runtime as applicable), 3) Configure AWS credentials if using S3 integration, 4) Deploy as an MCP server instance, 5) Connect to your chosen AI platform (Claude, ChatGPT, or AI Studio) via the MCP protocol.
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