Compile, run and check CUDA and HIP kernels without a GPU: wrong results, races, memory errors
Connect Runs on your machine
claude mcp add cuda4cpu -- docker run -i --rm ghcr.io/javier-cabezas/cuda4cpu:0.6.0
{
"mcpServers": {
"cuda4cpu": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/javier-cabezas/cuda4cpu:0.6.0"
]
}
}
}
{
"mcpServers": {
"cuda4cpu": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/javier-cabezas/cuda4cpu:0.6.0"
]
}
}
}
{
"servers": {
"cuda4cpu": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/javier-cabezas/cuda4cpu:0.6.0"
]
}
}
}
Tools
This server runs locally, so its tools are listed by your MCP client once it starts.
Details
| Package | ghcr.io/javier-cabezas/cuda4cpu:0.6.0 (OCI, stdio) |
| First published | 10 Nov 2026 |
| Last updated | 10 Nov 2026 |
| Registry name | io.github.javier-cabezas/cuda4cpu |
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