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MCP server for LLM-driven SUMO traffic simulation, scenario design, and result analysis.
MCP server for LLM-driven SUMO traffic simulation, scenario design, and result analysis.
AgentSUMO is a complex traffic simulation framework with generally reasonable security practices, but several issues warrant attention: subprocess/shell execution without full input sanitization in simulation runners, potential command injection vulnerabilities in SUMO path handling, and missing validation on user-supplied file paths and location parameters. The server's permissions (file I/O, network HTTP, env vars, subprocess) are appropriate for its stated purpose of running SUMO simulations, but the implementation has moderate-severity input validation gaps that could be exploited. Supply chain analysis found 2 known vulnerabilities in dependencies (0 critical, 1 high severity). Package verification found 1 issue (1 critical, 0 high severity).
4 files analyzed · 11 issues found
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Unverified package source
We couldn't verify that the installable package matches the reviewed source code. Proceed with caution.
Set these up before or after installing:
Environment variable: SUMO_HOME
Environment variable: AGENTSUMO_MCP_OUTPUT_BASE
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-mw-jeong-agentsumo-mcp": {
"env": {
"SUMO_HOME": "your-sumo-home-here",
"AGENTSUMO_MCP_OUTPUT_BASE": "your-agentsumo-mcp-output-base-here"
},
"args": [
"agentsumo"
],
"command": "uvx"
}
}
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