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
We read the source, 22 h ago · rules 995398eba69f
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.
run_git = lambda *args: subprocess.run(['git', '-C', directory, *args], check=True,
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.
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.
Compress GIFs from HTTPS URLs, poll results, and check credits. Hosted MCP with API key auth.
Hong Kong horse racing: race cards, AI win chances, odds, results, form and stats.
Run EPUBCheck for EPUB specification errors and compare two exports.
Compile and run Omega (.om) programs in a sandbox, and look up Omega errors and keywords.
Run Scout Monitoring's MCP tools locally with an API key: endpoints, traces, errors, N+1 insights.
Analyze multiple URLs with categorized SEO / GEO checks and scored results.
Analyze multiple URLs with categorized SEO / GEO checks and scored results.
Compare GPU specs and cloud rental offers, check CUDA support, and estimate Qdrant resources.
Answers built from our own checks of this server.