dev.aicomputeradar/ai-compute-radar

up checked 2026-11-11T02:38:24.672Z

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Publisher-provided title

AI Compute Radar

Publisher-provided description

Which open models fit your GPU or Mac, measured. Model momentum, GPU rental prices, weekly pick.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http ai-compute-radar https://aicomputeradar.dev/api/mcp

Claude Code, npm package (stdio)

claude mcp add ai-compute-radar -- npx -y ai-compute-radar

Codex, remote (streamable-http)

codex mcp add ai-compute-radar --url https://aicomputeradar.dev/api/mcp

Codex, npm package (stdio)

codex mcp add ai-compute-radar -- npx -y ai-compute-radar

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "ai-compute-radar": {
      "url": "https://aicomputeradar.dev/api/mcp"
    }
  }
}

Cursor, npm package (stdio) → .cursor/mcp.json

{
  "mcpServers": {
    "ai-compute-radar": {
      "command": "npx",
      "args": [
        "-y",
        "ai-compute-radar"
      ]
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (6 tools)

Publisher-provided text

• trending_models Tracked AI models ranked by Heat Score (0–100, weighted percentiles of measured Hugging Face/OpenRouter signals) with the raw signals, local-run facts (GGUF siz
• find_fit Which tracked models run on a given GPU or Mac: measured GGUF weights + computed context cache + runtime overhead versus usable memory. Returns the best recomme
• gpu_prices Median verified on-demand rental price per GPU class on Vast.ai (USD per hour), with min/p75 and offer counts, the collection timestamp, and per class the Rent
• price_history Daily price history per GPU class and source, up to 90 days: the rows the Rent Index and the 30-day range are computed from. Marketplace days (Vast.ai, Clore.ai
• list_hardware Curated GPU and Mac profiles the fit engine knows — ids, memory, usable memory after margins, bandwidth. Use an id with find_fit.
• weekly_pick The current pick of the week: one tracked model chosen by a published rule (largest counted Heat Score rise among models that run comfortably on a consumer card

Details

• Version: 1.2.3
• Transports: streamable-http, stdio
• Uptime (7 days): 100%
• Median latency: 791 ms
• First indexed: 2026-11-01T09:00:42.426Z
• Last seen in registry: 2026-11-01T09:00:42.580Z
• Website: https://aicomputeradar.dev/developers

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