mcpField
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Forge - GPU Kernel Optimization

Forge - GPU Kernel Optimization

Local
github.com/RightNow-AIDeveloper Tools0
Repository

About Forge - GPU Kernel Optimization

Turn slow PyTorch into fast CUDA/Triton kernels. 32 parallel swarm agents optimize your code on real datacenter GPUs (B200, H200, H100, A100) with up to 14x speedup over torch.compile.

#gpu#cuda#triton#pytorch#optimization#kernel#machine-learning#deep-learning

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "rightnow-ai-forge": {
      "command": "npx",
      "args": [
        "-y",
        "@rightnow/forge-mcp-server"
      ]
    }
  }
}
Run commandnpx -y @rightnow/forge-mcp-server

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@rightnow/forge-mcp-server1.0.2

Tools

7

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
forcebooleanNoForce re-authentication even if tokens exist

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.