Is the env-doctor MCP server actively maintained?

The env-doctor MCP server was last committed 26d ago and has 4 contributors. Issue health: 89% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

env-doctor MCP Server

Name: mitulgarg/env-doctor
Rating: 4.3 (1 reviews)
Author: mitulgarg

mitulgarg/env-doctor

Score: 83.1 ↑ 5.5% Rank #1283 Agent Framework

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

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Overview

mitulgarg/env-doctor is a Python MCP server licensed under MIT. Diagnose and Fix CUDA / GPU environments compatibility issues locally, in Docker, and CI/CD. CLI + MCP server available. Topics: cuda-support, cuda-toolkit, nvidia-driver, nvidia-gpu, nvidia-smi, pytorch, wsl2, compatibility-tool, cuda, cuda-library, cudnn, mcp-server, cicd, diagnostics, gpu, mlops.

Ranked #1283 out of 24846 indexed tools.

In the top 6% of all indexed tools.

Ecosystem

Python MIT

cuda-supportcuda-toolkitnvidia-drivernvidia-gpunvidia-smipytorchwsl2compatibility-toolcudacuda-librarycudnnmcp-servercicddiagnosticsgpumlops

Score Breakdown

Stars 15% 172

172 stars → growing community

Freshness 25% 26d ago

Last commit 26d ago → recently updated

Issue Health 25% 89%

62/70 issues closed → responsive maintainer

Contributors 10% 4

4 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 10

Description Good

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Markdown

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Details

Stars: 172
Forks: 10
Open Issues: 8
Closed Issues: 62
Contributors: 4
Dependents: —
Language: Python
License: MIT
Last Commit: 26d ago

Matched Queries

"mcp server""mcp-server"topic:mcp-server

From the README

<p align="center">
  
</p>

<h1 align="center">Env-Doctor</h1>

<p align="center">
  <strong>The missing link between your GPU and Python AI libraries</strong>
</p>

<p align="center">
  <a href="https://mitulgarg.github.io/env-doctor/">
    
  </a>
  <a href="https://pypi.org/project/env-doctor/">
    
  </a>
  <a href="https://pepy.tech/projects/env-doctor">
    
  </a>

  
  <a href="https://github.com/mitulgarg/env-doctor/blob/main/LICENSE">
    
  </a>
  <a href="https://github.com/mitulgarg/env-doctor/stargazers">
    
  </a>
  <a href="https://discord.gg/5wDK6k8Fp">
    
  </a>
</p>

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> **"Why does my PyTorch crash with CUDA errors when I just installed it?"**
>
> Because your driver supports CUDA 11.8, but `pip install torch` gave you CUDA 12.4 wheels.

**Env-Doctor diagnoses and fixes the #1 frustration in GPU computing:** mismatched CUDA versions between your NVIDIA driver, system toolkit, cuDNN, and Python libraries.

It takes **5 seconds** to find out if your environmen

Read full README on GitHub →