Turn PyTorch into fast CUDA/Triton kernels on real datacenter GPUs with up to 14x speedup.
{
"mcpServers": {
"forge-mcp-server": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
Turn PyTorch into fast CUDA/Triton kernels on real datacenter GPUs with up to 14x speedup.
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
License not specified.
Is it maintained?
Last commit 63 days ago. 12 stars.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
This server is missing a description. Tools and install config are also missing.If you've used it, help the community.
Add informationLast scanned 2h ago
No known vulnerabilities.
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