env-doctor

by mitulgarg · MCP Server · ★ 142

About env-doctor

Diagnose and Fix CUDA / GPU environments compatibility issues locally, in Docker, and CI/CD. CLI + MCP server available.

cicdcompatibility-toolcudacuda-librarycuda-supportcuda-toolkitcudnndiagnosticsgpumcp-server

Quick Facts

Stars142
Forks7
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score41.25/100
Open Issues7
Last Updated2026-05-16
Created2025-11-22
Platformscli, docker, mcp, python
Est. Tokens~171k

Compatible Skills

These tools work well together with env-doctor for enhanced workflows:

  • aimirror — semantic(0.25)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
  • renderdoc-skill — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)
  • free-coding-models — semantic(0.31)+complementary+similar_pop+shared_platform (46%)

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Frequently Asked Questions

What is env-doctor?

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 142 GitHub stars.

What programming language is env-doctor written in?

env-doctor is primarily written in Python. It covers topics such as cicd, compatibility-tool, cuda.

How do I install or use env-doctor?

You can find installation instructions and usage details in the env-doctor GitHub repository at github.com/mitulgarg/env-doctor. The project has 142 stars and 7 forks, indicating an active community.

What license does env-doctor use?

env-doctor is released under the MIT license, making it free to use and modify according to the license terms.

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