71
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1 day ago
glama
agentsumo-mcp
Enables interactive design, execution, and analysis of SUMO traffic simulations through natural language, providing tools for scenario generation, policy experimentation, result analysis, and visualization.
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// key findings
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
✅
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 3 credentials: ANTHROPIC_API_KEY, MAPBOX_TOKEN, MAPBOX_ACCESS_TOKEN
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from
process.env. You'll be asked to provide them before it can run.🔐 secret
ANTHROPIC_API_KEY— (required) — Claude API key that drives the Planner Agent. Get one at the [Anthropic Console](https://console.anthropic.com/settings/keys).🔐 secret
MAPBOX_TOKEN— (required for the web UI) — used to render the basemap. Get one at the [Mapbox access tokens page](https://account.mapbox.com/access-tokens/).🔐 secret
MAPBOX_ACCESS_TOKENconfig
AGENTSUMO_DATA_DIRconfig
SUMO_HOME— [SUMO](https://eclipse.dev/sumo/) 1.24 or later (locally installed, with set)// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[](https://m8ven.ai/mcp/urban-ai-institute-kra35-prismx-agentsumo-1vv424)commit: 2ad1d91a02f442218d54f2b1aec25c3b813ed5df
code hash: 37465e3ac651cf218d8e10b64824f46f0f73823d961cacf0cdb9bd5310ea9ca0
verified: 7/30/2026, 8:40:47 AM