pypddlengine

Enables AI agents to interactively explore PDDL planning problems by exposing a PDDL engine as MCP tools for initialization, action execution, state inspection, and goal checking.

→ AIT-Complex-Dynamical-Systems/pypddlengine · listed on glama

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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.

// 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 3 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

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[![M8ven Score](https://m8ven.ai/badge/mcp/ait-complex-dynamical-systems-pypddlengine-1u45g2)](https://m8ven.ai/mcp/ait-complex-dynamical-systems-pypddlengine-1u45g2)

commit: ea157045d0383c367a5034a2353e2ff635059350

code hash: 5cda0681d4ea46811c7d6ad23424f1d989f0daf52bff19048fc7c59d5d66d48d

verified: 6/22/2026, 1:19:49 PM

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