inferenceindexer-mcp

• recommend_models — Recommend the best-value AI models for given constraints, ranked with receipts. The core answer endpoint: give it constraints and it returns the top models
• explain_model — Get everything about one model in a single call: the full picture. Returns current pricing (input/output/blended, Cost/IQ, 24h/7d changes), a price-his
• search_models — Search and list AI inference models with current pricing. Args: query: Text search on model id/name (optional). tier: Filter by tier: front
• get_model — Get full detail + current pricing for one model by its id. Args: model_id: Canonical model id, e.g. 'openai/gpt-5.6' or 'anthropic/claude-sonnet-5'
• get_model_history — Get HISTORICAL price data / trends for one model. This is InferenceIndexer's differentiator: aggregators like OpenRouter expose only current price; thi
• list_providers — List all inference providers with model counts and price stats.
• get_provider — Get detail for one provider: models, tier breakdown, price range. Args: provider_name: Provider name, e.g. 'DeepInfra', 'Novita', 'Venice'. Ret
• get_composite_latest — Get the current SIT-Composite index value + per-tier breakdown. The SIT-Composite is a usage-weighted mean of the top-50 models by token volume, reflec
• get_composite_history — Get SIT-Composite index history / trend over time. Args: days: History window in days (1-90, default 30). Returns: historical composite index v
• compare_providers — Compare the price of one model across the providers that host it. Args: model_id: Canonical model id, e.g. 'meta/muse-spark-1.1'. Returns: per-

No long description beyond the summary.