MCP serverio.github.DesMartin01/inferenceindexer-mcp

AI inference pricing for agents: live and historical model prices, provider comparison.

UNRATEDActivestreamable-httpapi.inferenceindexer.ai

Overview

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UNRATED 0.783

of what a free look can see, on 32 looks

Looks

last 18 hr ago

Tools

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URL

api.inferenceindexer.ai/mcp

streamable-http

Says it is

inferenceindexer 1.29.0

protocol 2025-06-18

In the record since

32 days ago

Among servers18,413 with a card

0median 0.606 · this server 0.783 · highest on record 0.8561

Toolsfrom sha256:0bfa27d3ac…89d744

The tools this server lists, read out of the definition it returned
Tool	Schema
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-provider endpoints w	input · output
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-history summary with tr	input · output
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 values.	input · output
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, reflecting what developers	input · output
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'. Returns: prici	input · output
get_model_history Get HISTORICAL price data / trends for one model. This is InferenceIndexer's differentiator: aggregators like OpenRouter expose only current price; this returns the price	input · output
get_provider Get detail for one provider: models, tier breakdown, price range. Args: provider_name: Provider name, e.g. 'DeepInfra', 'Novita', 'Venice'. Returns: provider detai	input · output
list_providers List all inference providers with model counts and price stats.	input · output
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 ranked by Cost/	input · output
search_models Search and list AI inference models with current pricing. Args: query: Text search on model id/name (optional). tier: Filter by tier: frontier \| standard \| bud	input · output

Verify it yourselfnpx teppi-check https://api.inferenceindexer.ai/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ2BXJ8VZ2RN80BC6PZKGQ