{"name":"dev.aicomputeradar/ai-compute-radar","slug":"aicomputeradar-ai-compute-radar","title":"AI Compute Radar","description":"Which open models fit your GPU or Mac, measured. Model momentum, GPU rental prices, weekly pick.","url":"https://mcp.market/server/aicomputeradar-ai-compute-radar","rating":null,"grade":"C","score":60,"certified":false,"status":"active","category":"ai","tags":["ai"],"presence":{"score":8,"stars":null,"forks":null,"downloads_week":null,"last_push_at":null,"license":null},"uptime":null,"claimed":false,"transport":"remote","callable_via_gateway":true,"default_price_micros":0,"repository":null,"website":"https://aicomputeradar.dev/developers","version":"1.2.0","remotes":[{"type":"streamable-http","url":"https://aicomputeradar.dev/api/mcp"}],"packages":[],"tools":[{"name":"find_fit","description":"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.","write_action":true,"price_micros":0,"input_schema":{"type":"object","properties":{"hardware":{"type":"string","description":"Hardware id or page slug, e.g. rtx-4090, mac-studio-m3-ultra-96gb."},"model":{"description":"Restrict to one model slug.","type":"string"},"context":{"description":"Context length in tokens (default 8192).","type":"integer","minimum":512,"maximum":1048576},"kv":{"description":"KV-cache quantization (default f16).","type":"string","enum":["f16","q8_0","q4_0"]}},"required":["hardware"],"$schema":"https://json-schema.org/draft/2020-12/schema"}},{"name":"gpu_prices","description":"Median verified on-demand rental price per GPU class on Vast.ai (USD per hour), with min/p75 and offer counts, the collection timestamp, and per class the Rent Index: this week's median against last week and against the first week collected, a trend word, and the days excluded as marketplace glitches. The index describes what prices did; it never forecasts.","write_action":false,"price_micros":0,"input_schema":{"type":"object","properties":{},"$schema":"https://json-schema.org/draft/2020-12/schema"}},{"name":"list_hardware","description":"Curated GPU and Mac profiles the fit engine knows — ids, memory, usable memory after margins, bandwidth. Use an id with find_fit.","write_action":false,"price_micros":0,"input_schema":{"type":"object","properties":{},"$schema":"https://json-schema.org/draft/2020-12/schema"}},{"name":"trending_models","description":"Tracked AI models ranked by Heat Score (0–100, weighted percentiles of measured Hugging Face/OpenRouter signals) with the raw signals, local-run facts (GGUF size, quantization) and links. Models still collecting a week of history have heat=null and rank after scored ones.","write_action":true,"price_micros":0,"input_schema":{"type":"object","properties":{"limit":{"description":"How many models to return (default 12).","type":"integer","minimum":1,"maximum":100},"slug":{"description":"Return a single model by slug.","type":"string"}},"$schema":"https://json-schema.org/draft/2020-12/schema"}},{"name":"weekly_pick","description":"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.","write_action":true,"price_micros":0,"input_schema":{"type":"object","properties":{"week":{"description":"ISO week label of a past issue, e.g. 2026-w37 (default: the current issue).","type":"string","pattern":"^\\d{4}-w\\d{2}$"}},"$schema":"https://json-schema.org/draft/2020-12/schema"}}],"scan":{"score":60,"grade":"C","scanned_at":"2026-09-19T09:54:13.601Z","report":{"scannerVersion":"0.1.3","scannedAt":"2026-09-19T09:54:13.553Z","components":{"code":{"score":-1,"max":25,"notes":["remote-only server, no package to scan"]},"reliability":{"score":20,"max":20,"notes":["remote reachable in 1260ms"]},"poisoning":{"score":15,"max":15,"notes":["5 tool descriptions checked"]},"auth":{"score":3,"max":15,"notes":["open endpoint exposes 3 write-action tools with no auth"]},"maintenance":{"score":3,"max":15,"notes":["no repository listed"]},"identity":{"score":4,"max":10,"notes":["verified namespace with website, no repo"]}},"findings":[{"id":"auth.open-write","severity":"high","component":"auth","title":"Write-action tools reachable without authentication"},{"id":"maint.no-repo","severity":"low","component":"maintenance","title":"No source repository listed"}],"inputs":{"probes":[{"url":"https://aicomputeradar.dev/api/mcp","reachable":true,"authRequired":false,"latencyMs":1260,"serverInfo":{"name":"ai-compute-radar","version":"1.2.0"}}],"packages":[],"repo":{"found":false},"icon":{"url":"https://aicomputeradar.dev/apple-icon?f75938cbaa27c1af","source":"site","width":180,"height":180},"presence":{"stars":null,"forks":null,"downloadsWeek":null,"license":null,"lastPushAt":null,"score":8}}}},"grade_history":[],"reviews":[]}