Turn PyTorch into fast CUDA/Triton kernels on real datacenter GPUs with up to 14x speedup.
Swarm agents that turn slow PyTorch into fast CUDA/Triton kernels, from any AI coding agent. Forge transforms PyTorch models into production-grade CUDA/Triton kernels through automated multi-agent optimization. Using 32 parallel AI agents with inference-time scaling, it achieves up to 14x faster inference than while maintaining 100% numerical correctness. This MCP server connects any…
Inferred from the transports this listing declares (stdio). A client not listed here hasn’t been ruled out — it just isn’t something Forge can confirm.
Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts.
Read out of the source npm actually ships, at scan time. The package was never executed. Tools registered dynamically at runtime, or hidden inside bundled or minified code, can be missed — so this is a floor on the tool surface, not a complete census of it.
forge_authNo description publishedThis tool published no description. Forge does not invent one.
forge_creditsNo description publishedThis tool published no description. Forge does not invent one.
forge_optimizeNo description publishedThis tool published no description. Forge does not invent one.
forge_generateNo description publishedThis tool published no description. Forge does not invent one.
forge_statusNo description publishedThis tool published no description. Forge does not invent one.
forge_cancelNo description publishedThis tool published no description. Forge does not invent one.
forge_sessionsNo description publishedThis tool published no description. Forge does not invent one.
0 of 7 tools published a description.
Tool names and descriptions are written by the publisher and shown verbatim as inert text. They are the strings an MCP client passes to a model, so Forge scans them for prompt-injection patterns — any finding appears with the security scan above. “Privileged” is a keyword match on the tool name, not an audit of what the tool does: a benign-sounding name can still do anything.
Swarm agents that turn slow PyTorch into fast CUDA/Triton kernels, from any AI coding agent. Forge transforms PyTorch models into production-grade CUDA/Triton kernels through automated multi-agent optimization. Using 32 parallel AI agents with inference-time scaling, it achieves up to 14x faster inference than while maintaining 100% numerical correctness. This MCP server connects any MCP-compatible AI coding agent to Forge. Your agent submits PyTorch code, Forge optimizes it with swarm agents…
Linked names open Forge’s index of every entry observed exposing that tool. Browse all indexed tools.
This package was last scanned before Forge began storing the resolved tree. The next scan will record it.