Categories › AI & Agents › Models, LLM APIs, routing, serving, training & GPUs
Live registry of AI model specs, context windows, and per-token pricing.
Remote server: your requests and data go to modelright.dev. Claude Code: claude mcp add --transport http modelright https://modelright.dev/api/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
list_providers — List providers tracked by the registry with their model counts. Use provider slugs in list_models / get_model / compare_models.search_models — Substring search across model name, slug, and provider — the fast path to a model's provider/slug pair for the detail tools.list_models — List tracked models with pricing and context windows. Filter by provider, modality tag, status, or price/context bounds.get_model — Full detail for one model (provider+slug from search_models): specs, current price, status, and recent price/availability snapshots.compare_models — Side-by-side comparison of 2-10 models by provider/slug: context window, input/output price per 1M tokens, modalities, status.get_ingest_status — Data-freshness check: registry totals and the most recent ingest runs (source, model count, status, time).Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.