MCPs › Nodehour: GPU and accelerator capacity by chip, count, term and region
GPU and accelerator capacity by chip, count, term, region and interconnect, specified to source.
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Install Nodehour: GPU and accelerator capacity by chip, count, term and region
For anyone using Nodehour: GPU and accelerator capacity by chip, count, term and region — no Lulu account neededclaude mcp add --transport http nodehour--gpu-and-accelerator-capacity-by-chip--count--term-and-region https://nodehour.forevenza.com/mcp
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Get the Kit →FAQ
Run: claude mcp add --transport http nodehour--gpu-and-accelerator-capacity-by-chip--count--term-and-region https://nodehour.forevenza.com/mcp
Yes — it’s a remote MCP server, so no local install is needed.
ChatGPT: Settings → Connectors → Advanced → Developer mode → Add connector, then paste https://nodehour.forevenza.com/mcp.
Claude.ai: Settings → Connectors → Add custom connector, then paste the same URL.
21 out of 100, computed from cross-registry traction signals (installs, stars, registry presence) — never influenced by sponsorship.
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This is for the person who owns Nodehour: GPU and accelerator capacity by chip, count, term and region — adds Lulu Ads to your own code. Not the install steps above, those are for your users.
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