{"name":"io.github.DesMartin01/inferenceindexer-mcp","slug":"desmartin01-inferenceindexer-mcp","title":null,"description":"AI inference pricing for agents: live and historical model prices, provider 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summary with trend, all provider endpoints, the cheapest\n    hand-verified endpoint with its native model id (for hot-swapping),\n    privacy flags (ZDR/EU availability), and the AA intelligence score.\n    Everything is as-of stamped.\n\n    Args:\n        model_id: Canonical model id, e.g. 'anthropic/claude-sonnet-5'.\n        history_days: Price-history window (default 30, max 365).\n    Returns: complete model profile with pricing, endpoints, privacy, quality.\n    ","write_action":false,"price_micros":0,"input_schema":{"type":"object","properties":{"model_id":{"title":"Model Id","type":"string"},"history_days":{"default":30,"title":"History Days","type":"integer"}},"required":["model_id"],"title":"explain_modelArguments"}},{"name":"get_composite_history","description":"Get SIT-Composite index history / trend over time.\n\n    Args:\n        days: History window in days (1-90, default 30).\n    Returns: historical composite index values.\n    ","write_action":false,"price_micros":0,"input_schema":{"type":"object","properties":{"days":{"default":30,"title":"Days","type":"integer"}},"title":"get_composite_historyArguments"}},{"name":"get_composite_latest","description":"Get the current SIT-Composite index value + per-tier breakdown.\n\n    The SIT-Composite is a usage-weighted mean of the top-50 models by token\n    volume, reflecting what developers actually pay for inference.\n    ","write_action":false,"price_micros":0,"input_schema":{"type":"object","properties":{},"title":"get_composite_latestArguments"}},{"name":"get_model","description":"Get full detail + current pricing for one model by its id.\n\n    Args:\n        model_id: Canonical model id, e.g. 'openai/gpt-5.6' or 'anthropic/claude-sonnet-5'.\n    Returns: pricing, tier, SIT score, quality-adjusted price (Cost/IQ).\n    ","write_action":false,"price_micros":0,"input_schema":{"type":"object","properties":{"model_id":{"title":"Model Id","type":"string"}},"required":["model_id"],"title":"get_modelArguments"}},{"name":"get_model_history","description":"Get HISTORICAL price data / trends for one model.\n\n    This is InferenceIndexer's differentiator: aggregators like OpenRouter\n    expose only current price; this returns the price over time (input,\n    output, blended $/M), enabling trend analysis.\n\n    Args:\n        model_id: Canonical model id, e.g. 'openai/gpt-5.6'.\n        days: History window in days (1-365, default 30; plan-dependent).\n    Returns: historical price series for the model.\n    ","write_action":false,"price_micros":0,"input_schema":{"type":"object","properties":{"model_id":{"title":"Model Id","type":"string"},"days":{"default":30,"title":"Days","type":"integer"}},"required":["model_id"],"title":"get_model_historyArguments"}},{"name":"get_provider","description":"Get detail for one provider: models, tier breakdown, price range.\n\n    Args:\n        provider_name: Provider name, e.g. 'DeepInfra', 'Novita', 'Venice'.\n    Returns: provider detail with model list and pricing.\n    ","write_action":false,"price_micros":0,"input_schema":{"type":"object","properties":{"provider_name":{"title":"Provider Name","type":"string"}},"required":["provider_name"],"title":"get_providerArguments"}},{"name":"list_providers","description":"List all inference providers with model counts and price stats.","write_action":false,"price_micros":0,"input_schema":{"type":"object","properties":{},"title":"list_providersArguments"}},{"name":"recommend_models","description":"Recommend the best-value AI models for given constraints, ranked with receipts.\n\n    The core answer endpoint: give it constraints and it returns the top models\n    ranked by Cost/IQ (quality-adjusted price, lower is better), each with a\n    plain-English 'why', a hot-swap endpoint_config (provider base_url + native\n    model id, ready to call), as-of timestamps, and runner-ups.\n\n    Args:\n        budget_max_usd_per_m: Max blended price $/M (optional).\n        context_min: Minimum context window in tokens (optional).\n        modality: 'text' (default), 'vision', or 'any'.\n        zdr: Require zero-data-retention providers (optional).\n        eu_sovereign: Require EU-sovereign providers (optional).\n        reasoning: Filter reasoning models (null = any, true/false).\n        limit: Max recommendations (1-20, default 5).\n    Returns: ranked recommendations with endpoint_config and ranking evidence.\n    ","write_action":false,"price_micros":0,"input_schema":{"type":"object","properties":{"budget_max_usd_per_m":{"anyOf":[{"type":"number"},{"type":"null"}],"default":null,"title":"Budget Max Usd Per M"},"context_min":{"anyOf":[{"type":"integer"},{"type":"null"}],"default":null,"title":"Context Min"},"modality":{"default":"text","title":"Modality","type":"string"},"zdr":{"default":false,"title":"Zdr","type":"boolean"},"eu_sovereign":{"default":false,"title":"Eu Sovereign","type":"boolean"},"reasoning":{"anyOf":[{"type":"boolean"},{"type":"null"}],"default":null,"title":"Reasoning"},"limit":{"default":5,"title":"Limit","type":"integer"}},"title":"recommend_modelsArguments"}},{"name":"search_models","description":"Search and list AI inference models with current pricing.\n\n    Args:\n        query: Text search on model id/name (optional).\n        tier: Filter by tier: frontier | standard | budget | micro | zdr | eu (optional).\n        limit: Max results (1-100, default 25).\n        sort: Sort key, e.g. 'blended' (price), 'sit' (SIT score) (optional).\n    Returns: models with input/output/blended $/M pricing, provider, tier.\n    ","write_action":false,"price_micros":0,"input_schema":{"type":"object","properties":{"query":{"anyOf":[{"type":"string"},{"type":"null"}],"default":null,"title":"Query"},"tier":{"anyOf":[{"type":"string"},{"type":"null"}],"default":null,"title":"Tier"},"limit":{"default":25,"title":"Limit","type":"integer"},"sort":{"anyOf":[{"type":"string"},{"type":"null"}],"default":null,"title":"Sort"}},"title":"search_modelsArguments"}}],"scan":{"score":93,"grade":"A","scanned_at":"2026-09-20T20:11:26.630Z","report":{"scannerVersion":"0.1.9","scannedAt":"2026-09-20T20:11:26.550Z","components":{"code":{"score":25,"max":25,"notes":["5 source files scanned"]},"reliability":{"score":20,"max":20,"notes":["remote reachable in 1606ms"]},"poisoning":{"score":15,"max":15,"notes":["10 tool descriptions checked"]},"auth":{"score":10,"max":15,"notes":["open endpoint, read-only tools"]},"maintenance":{"score":15,"max":15,"notes":["last push 7 days ago"]},"identity":{"score":8,"max":10,"notes":["registry namespace matches repository owner","GitHub account older than a year"]}},"findings":[],"inputs":{"probes":[{"url":"https://api.inferenceindexer.ai/mcp","reachable":true,"authRequired":false,"latencyMs":1606,"serverInfo":{"name":"inferenceindexer","version":"1.29.0"}}],"packages":[{"registryType":"pypi","identifier":"inferenceindexer-mcp","version":"0.1.1","found":true,"license":"MIT","dependencyCount":2,"publishedAt":"2026-09-01T14:36:31.779618Z","repositoryUrl":"https://github.com/desmartin01/inferenceindexer-mcp"}],"repo":{"found":true,"owner":"DesMartin01","repo":"inferenceindexer-mcp","archived":false,"pushedAt":"2026-09-13T12:57:00Z","stars":0,"forks":0,"openIssues":0,"ownerType":"User","ownerAvatarUrl":"https://avatars.githubusercontent.com/u/190834087?v=4","ownerCreatedAt":"2024-12-06T10:15:44Z","license":"MIT"},"icon":{"url":null,"source":"none"},"presence":{"stars":0,"forks":0,"downloadsWeek":null,"license":"MIT","lastPushAt":"2026-09-13T12:57:00.000Z","score":20}}}},"grade_history":[],"reviews":[]}