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pulsemcp

Python Sandbox

Provides secure Python code execution in containerized sandboxes with automatic matplotlib figure persistence and comprehensive data science libraries for interactive analysis and machine learning experimentation.

→ aamir-gmail/lm_studio_mcp· listed on pulsemcp
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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.
🔐
You'll be asked for 1 credential: UI_PASS
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.
configPUBLIC_BASE_URL— "docker run --rm -i -p 8000:8000 -e =http://{YOUR_LOCAL_IP}:8000 python-sandbox-integrated_v2:latest python /app/mcp_server.py --stdio"
configPUBLIC_BASE_URL_MODE
configSANDBOX_TEMP_DIR
configEXEC_TIMEOUT_SECONDS
configAUTO_SAVE_MPL
configLMSTUDIO_BASE_URL
configMODEL_NAME
configSANDBOX_BASE_URL
configARTIFACTS_DIR
configARTIFACTS_EXTERNAL_BASE
configUI_LOG_ENABLED
configUI_LOG_LEVEL
configUI_LOG_DIR
configUI_LOG_FORMAT
configUI_TRACE_VERBOSE
configUI_TRACE_MAXLEN
configUI_TRACE_SAVE_BLOBS
configUI_TRACE_INCLUDE_CODE
configUI_USER
🔐 secretUI_PASS
configGRADIO_SERVER_NAME
configGRADIO_SERVER_PORT
// 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/aamir-gmail-lm-studio-mcp-xqdmlj)](https://m8ven.ai/mcp/aamir-gmail-lm-studio-mcp-xqdmlj)
commit: dcff7361a0f91d795ef61dcc90cc8d3acdfab95f
code hash: 0803c0a1bd2d69a5ad4926a09e132782a33f9bd56699d86f81006afab0973f68
verified: 6/15/2026, 3:11:39 PM
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