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glama

Panda-TAMP MCP Server

Exposes the Panda-TAMP planning stack as tools via the Model Context Protocol, enabling natural language-driven goal grounding and closed-loop task and motion planning for a simulated Franka Panda robot.

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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 2 credentials: NVIDIA_API_KEY, OPENAI_API_KEY
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.
configTAMP_PYTHON
configTAMP_SCENE
configTAMP_EXECUTE
configTAMP_START_CURRENT
configTAMP_PICKPLACE
configTAMP_DWELL
configTAMP_REACH_TOL
configTAMP_SETTLE_TIMEOUT
configTAMP_RTF_SLACK
configTAMP_SCENE_CONFIG
configOLLAMA_HOST
configOLLAMA_MODEL
configOPENAI_BASE_URL
🔐 secretNVIDIA_API_KEY
🔐 secretOPENAI_API_KEY
configOPENAI_MODEL
// 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 5 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
[![M8ven Score](https://m8ven.ai/badge/mcp/manas-arumalla-panda-tamp-1mpwk8)](https://m8ven.ai/mcp/manas-arumalla-panda-tamp-1mpwk8)
commit: acbee7a0251d7076bd2876dc8a2d9c5a6fba4955
code hash: eb50c9f431790ac2ad9df229e3d41210684cf0846e03c40f264f2c00e5ae128e
verified: 7/21/2026, 9:15:46 AM
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