AI inference pricing for agents: live and historical model prices, provider comparison.
Connect Remote server
claude mcp add --transport http inferenceindexer-mcp https://api.inferenceindexer.ai/mcp
{
"mcpServers": {
"inferenceindexer-mcp": {
"url": "https://api.inferenceindexer.ai/mcp"
}
}
}
{
"servers": {
"inferenceindexer-mcp": {
"type": "http",
"url": "https://api.inferenceindexer.ai/mcp"
}
}
}
Settings > Connectors > Add custom connector
URL: https://api.inferenceindexer.ai/mcp
Tools 10 found in our last check
recommend_modelsRecommend the best-value AI models for given constraints, ranked with receipts. The core answer endpoint: give it constraints and it returns the top models ranked by Cost/IQ (quality-adjusted price, lower is better), each with a plain-English 'why', a hot-swap endpoint_config (p…
explain_modelGet everything about one model in a single call: the full picture. Returns current pricing (input/output/blended, Cost/IQ, 24h/7d changes), a price-history summary with trend, all provider endpoints, the cheapest hand-verified endpoint with its native model id (for hot-swapping)…
search_modelsSearch and list AI inference models with current pricing. Args: query: Text search on model id/name (optional). tier: Filter by tier: frontier | standard | budget | micro (optional). limit: Max results (1-100, default 25). sort: Sort key: blended | input | output | sit_score | s…
get_modelGet 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'. Returns: pricing, tier, SIT score, quality-adjusted price (Cost/IQ).
get_model_historyGet HISTORICAL price data / trends for one model. This is InferenceIndexer's differentiator: aggregators like OpenRouter expose only current price; this returns the price over time (input, output, blended $/M), enabling trend analysis. Args: model_id: Canonical model id, e.g. 'o…
list_providersList all inference providers with model counts and price stats.
get_providerGet detail for one provider: models, tier breakdown, price range. Args: provider_name: Provider name, e.g. 'DeepInfra', 'Novita', 'Venice'. Returns: provider detail with model list and pricing.
get_composite_latestGet 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, reflecting what developers actually pay for inference.
get_composite_historyGet SIT-Composite index history / trend over time. Args: days: History window in days (1-90, default 30). Returns: historical composite index values.
compare_providersCompare 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-provider endpoints with pricing, showing where direct provider prices diverge (e.g. from OpenRouter's negotiated rate).
Details
| Endpoint | https://api.inferenceindexer.ai/mcp (Streamable HTTP) |
| Package | [email protected] (PYPI, stdio) |
| First published | 1 Sep 2026 |
| Last updated | 1 Sep 2026 |
| Registry name | io.github.DesMartin01/inferenceindexer-mcp |
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