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SUMO-MCP-Server
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，实现从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自动化。
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What's in it
- Data offered docs-verified
- OSM road network download (download_osm) · network generation (generate) and ezdesignX conversion · random trip demand generation (generate_random) · OD matrix conversion (convert_od) · route computation (compute_routes) · SUMO simulation runs and FCD trajectory analysis (run_analysis) · signal timing cycle adaptation and coordination · TraCI online control and vehicle state queries
- Formats docs-verified
- MCP stdio
- Access docs-verified
- Free and open source under the MIT licence. No credentials are documented. Requires a local Eclipse SUMO install and Python 3.10+.
Useful for
- Use cases llm-inferred
- Junction signal timing study comparing baseline and optimised control (signal_opt workflow) · Synthetic network and demand prototype built from OSM data for a traffic impact assessment · Scenario comparison of corridor or site-access layouts via simulation (sim_gen_eval workflow)
- Audience llm-inferred
- traffic engineers · transport planners · highways and civils engineers · transport researchers
Limitations
- Constraints llm-inferred
- Requires a local SUMO installation with binaries on PATH and ideally SUMO_HOME set · Runs locally over stdio; no hosted service is documented · Git-based pip install is marked WIP · OSM is the only data retrieval path documented; no UK-specific data sources are listed · Demand is synthetic and not documented as calibrated to observed traffic counts · Non-JSON stdout from child processes can corrupt the stdio transport
- Licence
- MIT
- Authentication
- No credentials documented in README
- GitHub stars
- 56
- Last commit
- 07/07/2026
- Last successful page check
- 14/10/2026
- Page health
- healthy
- Package
- pypi:git
- Verification
- Not independently verified
Provenance & evidence
Tools/install/auth auto-extracted from README; quality score heuristic (stars, recency, tool count, licence).
Metadata observed 15/10/2026 · research sweep: github-search