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Forge
Turn PyTorch into fast CUDA/Triton kernels on real datacenter GPUs with up to 14x speedup.
接入你的智能体
添加此服务器
The publisher's own command. Not a PlugMCP endpoint.
Local command
npx -y @rightnow/[email protected]
Provider
Claude Code
claude mcp add io.github.rightnow-ai-forge-mcp-server -- npx -y @rightnow/[email protected]
Run in a terminal.
Claude Desktop
{
"mcpServers": {
"io.github.rightnow-ai-forge-mcp-server": {
"command": "npx",
"args": [
"-y",
"@rightnow/[email protected]"
]
}
}
}claude_desktop_config.json
Remote URL or a command on your machine? How the two installs differ
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Turn PyTorch into fast CUDA/Triton kernels on real datacenter GPUs with up to 14x speedup.
README is not crawled yet. Open the repository
- How do I install Forge?
- Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.
- Does Forge need an API key?
- No required environment variable is listed on this record.
- What transport does Forge use?
- Forge runs locally over stdio.
- When was Forge last checked?
- Last checked 2026-10-16. Turn PyTorch into fast CUDA/Triton kernels on real datacenter GPUs with up to 14x speedup.
No tool list yet. Remote servers get one after the first health check.