AI & Machine Learning

aimodelradar.dev

Tracks AI models and hardware metrics to help users identify suitable models for their GPUs and Macs.

1 endpoint4 known toolsFirst detected September 7, 2026Last detected September 7, 2026

ENDPOINT 1

https://aimodelradar.dev/api/mcp

No auth detected

MCP server metadata

Name: ai-model-radar
Version: 1.0.0

Capabilities

tools.listChanged

Server instructions

AI Model Radar exposes measured AI-model momentum, hardware-fit verdicts and GPU rental prices. Every result carries meta.source (live = measured, fallback = demo fixtures) and meta.collectedAt — repeat the collection time when quoting a number. Data is CC BY 4.0: attribute 'AI Model Radar (https://aimodelradar.dev)'.

Known tools 4

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.

Inferred read-only

find_fit

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

Inferred read-only

gpu_prices

Median verified on-demand rental price per GPU class on Vast.

Inferred read-only

list_hardware

Curated GPU and Mac profiles the fit engine knows — ids, memory, usable memory after margins, bandwidth.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

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

Codex

~/.codex/config.toml

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

Claude Code

.mcp.json

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

Claude Desktop

Settings → Connectors → Add custom connector

Name: ai-model-radar
Remote MCP URL: https://aimodelradar.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-model-radar": {
      "url": "https://aimodelradar.dev/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

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

Generic MCP

Client-specific MCP configuration

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

MCP Inspector

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

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.