INDIVIDUAL MCP TOOL

find_fit

Which tracked models run on a given GPU or Mac: measured GGUF weights + computed context cache + runtime overhead versus usable memory.

aicomputeradar.devnone authenticationAvailability not checked

LIVE ENDPOINT

https://aicomputeradar.dev/api/mcp

No auth detected

Connect to this endpoint to inspect the live schema for find_fit and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.ai-compute-radar]
url = "https://aicomputeradar.dev/api/mcp"
enabled = true

Claude Code

.mcp.json

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

Claude Desktop

Settings → Connectors → Add custom connector

Name: ai-compute-radar
Remote MCP URL: https://aicomputeradar.dev/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

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

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "ai-compute-radar": {
      "type": "http",
      "url": "https://aicomputeradar.dev/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "ai-compute-radar",
  "transport": "streamable-http",
  "url": "https://aicomputeradar.dev/api/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

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 size, quantization) and links.
gpu_prices — Median verified on-demand rental price per GPU class on Vast.
list_hardware — Curated GPU and Mac profiles the fit engine knows — ids, memory, usable memory after margins, bandwidth.
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 of up to 24 GB), with the numbers frozen at selection time, a device-by-device fit ladder and the written report including its caveats.