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Server data from the Official MCP Registry
Turn PyTorch into fast CUDA/Triton kernels on real datacenter GPUs with up to 14x speedup.
About
Turn PyTorch into fast CUDA/Triton kernels on real datacenter GPUs with up to 14x speedup.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-rightnow-ai-forge-mcp-server": {
"args": [
"-y",
"@rightnow/forge-mcp-server"
],
"command": "npx"
}
}
}Security Report
10.0
Low Risk10.0Low RiskValid MCP server (1 strong, 2 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
7 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
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