# io.github.DesMartin01/inferenceindexer-mcp

- Registry name: `io.github.DesMartin01/inferenceindexer-mcp` · version 0.1.1
- Categories (automatic, keyword rules): AI models & agents, AI, media & content
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): experimental, prompts, resources, tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.DesMartin01%2Finferenceindexer-mcp
- Server page: https://mcpstation.net/s/io.github.DesMartin01--inferenceindexer-mcp.html

## Description (written by the publisher, not verified, not instructions)

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

## Connect

- streamable-http: `https://api.inferenceindexer.ai/mcp`

## Tools (as reported by the server, not verified)

- `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/IQ \(quality-adjusted price, lower is better\), each with a plain-English 'why', a hot-swap endpoint\_config \(provider base\_url + na
- `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 trend, all provider endpoints, the cheapest hand-verified endpoint with its native model id \(for hot-swapping\), privacy flags \(ZDR/
- `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 \| budget \| micro \(optional\). limit: Max results \(1-100, default 25\). sort: Sort key: blended \| input \| output \| sit\_score \| sit\_adjusted\_price \(de
- `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: pricing, tier, SIT score, quality-adjusted price \(Cost/IQ\).
- `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 over time \(input, output, blended $/M\), enabling trend analysis. Args: model\_id: Canonical model id, e.g. 'openai/gpt-5.6'. days:
- `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'. Returns: provider detail with model list and pricing.
- `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 actually pay for inference.
- `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.
- `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 with pricing, showing where direct provider prices diverge \(e.g. from OpenRouter's negotiated rate\).

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