mitulgarg/env-doctor
Debug your GPU, CUDA, and AI stacks across local, Docker, and CI/CD (CLI and MCP server)
Performs deep stack diagnostics with compute capability matching—it detects architecture-specific mismatches like Blackwell GPUs missing sm_120 support, and validates Python version cascades across PyTorch/TensorFlow/JAX. Exposes 11+ diagnostic tools via Model Context Protocol (MCP) for integration with Claude Desktop and Zed, plus generates safe pip install commands tailored to your driver's CUDA version. Built-in CUDA auto-installer with CI/CD awareness (GitHub Actions, GitLab CI) and container validation for Dockerfiles.
125 stars and 669 monthly downloads. Available on PyPI.
Stars
125
Forks
6
Language
Python
License
MIT
Category
Last pushed
Mar 06, 2026
Monthly downloads
669
Commits (30d)
0
Dependencies
7
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