Search / dev.aicomputeradar/ai-compute-radar
protogridR0· no sign-inWhich open models fit your GPU or Mac, measured. Model momentum, GPU rental prices, weekly pick.
v1.2.0 · active · website · descriptor JSON · versions
{
"mcpServers": {
"ai-compute-radar": {
"type": "http",
"url": "https://aicomputeradar.dev/api/mcp"
}
}
}claude mcp add --transport http ai-compute-radar https://aicomputeradar.dev/api/mcp[mcp_servers.ai-compute-radar]
url = "https://aicomputeradar.dev/api/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"ai-compute-radar": {
"type": "remote",
"url": "https://aicomputeradar.dev/api/mcp",
"enabled": true
}
}
}{
"mcpServers": {
"ai-compute-radar": {
"type": "http",
"url": "https://aicomputeradar.dev/api/mcp"
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=ai-compute-radar&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vYWljb21wdXRlcmFkYXIuZGV2L2FwaS9tY3AifQ%3D%3D"
}{
"servers": {
"ai-compute-radar": {
"type": "http",
"url": "https://aicomputeradar.dev/api/mcp"
}
}
}{
"mcpServers": {
"ai-compute-radar": {
"httpUrl": "https://aicomputeradar.dev/api/mcp"
}
}
}extensions:
"ai-compute-radar":
enabled: true
name: "ai-compute-radar"
type: streamable_http
uri: "https://aicomputeradar.dev/api/mcp"
timeout: 300
protocol.modernsupports 2026-07-28 (server/discover)protocol.statelessanswers without a sessionprotocol.transportstreamable HTTPprotocol.list_ttltools/list declares ttlMs 0, so clients re-fetch it on every useauth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptionsevery tool has a descriptiontools.description_lengthdescriptions are concisetools.schemasevery tool has an object input schematools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky onestools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: list_hardware (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); trending_models (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); find_fit (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …tools.token_costabout 781 tokens to load every tooltools.api_dumptools are not a one-to-one API dumpstability.changes3 tool changes in 30 daysstability.rug_pullno tool changed its meaning under the same namedeps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI packagegpu_priceschangeddescriptionMedian 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 Index: this week's median against last week and against the first week collected, a trend word, and the days excluded as marketplace glitches, plus RunPod's lowest posted on-demand price per class (a list price, not a median), Clore.ai's median for the same class (a second marketplace, never blended), and the Azure and Oracle Cloud pay-as-you-go list prices per GPU-hour, each with the VM size or bare-metal shape the price sits in (list prices, read four times a day, no statement about capacity). The index describes what prices did; it never forecasts.
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 Index: this week's median against last week and against the first week collected, a trend word, and the days excluded as marketplace glitches, plus RunPod's lowest posted on-demand price per class (a list price, not a median), Clore.ai's median for the same class (a second marketplace, never blended), and the AWS, Azure and Oracle Cloud pay-as-you-go list prices per GPU-hour, each with the instance type, VM size or bare-metal shape the price sits in (list prices, read four times a day, no statement about capacity). The index describes what prices did; it never forecasts.
gpu_priceschangeddescriptionMedian 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 Index: this week's median against last week and against the first week collected, a trend word, and the days excluded as marketplace glitches, plus RunPod's lowest posted on-demand price per class (a list price, not a median) and Clore.ai's median for the same class (a second marketplace, never blended). The index describes what prices did; it never forecasts.
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 Index: this week's median against last week and against the first week collected, a trend word, and the days excluded as marketplace glitches, plus RunPod's lowest posted on-demand price per class (a list price, not a median), Clore.ai's median for the same class (a second marketplace, never blended), and the Azure and Oracle Cloud pay-as-you-go list prices per GPU-hour, each with the VM size or bare-metal shape the price sits in (list prices, read four times a day, no statement about capacity). The index describes what prices did; it never forecasts.
gpu_priceschangeddescriptionMedian 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 Index: this week's median against last week and against the first week collected, a trend word, and the days excluded as marketplace glitches, plus RunPod's lowest posted on-demand price per class (a list price, not a median). The index describes what prices did; it never forecasts.
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 Index: this week's median against last week and against the first week collected, a trend word, and the days excluded as marketplace glitches, plus RunPod's lowest posted on-demand price per class (a list price, not a median) and Clore.ai's median for the same class (a second marketplace, never blended). The index describes what prices did; it never forecasts.
Full history: list_changes · trend: quality JSON.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+dns-namespace +website +reachable +uptime-100% ~updated-32d-ago -no-repository
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
| remote | auth | reachable | uptime 30d | p50 | protocol | last ok |
|---|---|---|---|---|---|---|
https://aicomputeradar.dev/api/mcp streamable-http | none | yes | 100% | 397 ms | 2026-07-28 | 2026-10-20 |
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 recommendation and every verdict (EXCELLENT/GOOD/TIGHT/OFFLOAD_REQUIRED/NOT_RECOMMENDED/UNKNOWN) with plain-language reasons. Get hardware ids from list_hardware. |
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 Index: this week's median against last week and against the first week collected, a trend word, and the days excluded as marketplace glitches, plus RunPod's lowest posted on-demand price per class (a list price, not a median), Clore.ai's median for the same class (a second marketplace, never blended), and the AWS, Azure and Oracle Cloud pay-as-you-go list prices per GPU-hour, each with the instance type, VM size or bare-metal shape the price sits in (list prices, read four times a day, no statement about capacity). The index describes what prices did; it never forecasts. |
list_hardware | Curated GPU and Mac profiles the fit engine knows — ids, memory, usable memory after margins, bandwidth. Use an id with find_fit. |
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. Models still collecting a week of history have heat=null and rank after scored ones. |
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. Pass week (e.g. 2026-w37) for a past issue. issue is null until the first issue is published. |
Schemas: list_tools.
{
"name": "dev.aicomputeradar/ai-compute-radar",
"title": "AI Compute Radar",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://aicomputeradar.dev/api/mcp",
"type": "streamable-http"
}
],
"version": "1.2.0",
"websiteUrl": "https://aicomputeradar.dev/developers",
"description": "Which open models fit your GPU or Mac, measured. Model momentum, GPU rental prices, weekly pick."
}