by mitulgarg · MCP Server · ★ 161
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Env-Doctor The missing link between your GPU and Python AI libraries
| Stars | 161 |
| Forks | 10 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 56.18/100 |
| Open Issues | 7 |
| Last Updated | 2026-06-18 |
| Created | 2025-11-22 |
| Platforms | cli, docker, mcp, python |
| Est. Tokens | ~17k |
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env-doctor is Diagnose and Fix CUDA / GPU environments compatibility issues locally, in Docker, and CI/CD. CLI + MCP server available.. It is categorized as a MCP Server with 161 GitHub stars.
env-doctor is primarily written in Python. It covers topics such as cicd, compatibility-tool, cuda.
You can find installation instructions and usage details in the env-doctor GitHub repository at github.com/mitulgarg/env-doctor. The project has 161 stars and 10 forks, indicating an active community.
env-doctor is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to env-doctor on Agent Skills Hub include aimirror, ingero, homelab-monitor. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.