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cuda4cpu MCP Server

by javier-cabezas Your server? Claim it
local only

cuda4cpu runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 6 Nov 2026.

Compile, run and check CUDA and HIP kernels without a GPU: wrong results, races, memory errors

—
Installs / week
not published
6
Stars
0 open issues
6 Nov 2026
Last commit
from GitHub
Apache-2.0
License
C++

What the code does

We read the source, 22 h ago · rules 995398eba69f

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

Runs an external command compat/run.py:70
    run_git = lambda *args: subprocess.run(['git', '-C', directory, *args], check=True,
Dumps the whole environment compat/run.py:137
                           env=dict(os.environ, **program.get('env', {})),

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

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cuda4cpu — questions

Answers built from our own checks of this server.

Why is there no uptime for cuda4cpu?
cuda4cpu runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone.
Is cuda4cpu open source?
Yes — it is published under the Apache-2.0 licence, written in C++ and 6 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.