ai-price-index-mcp
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AlicenseAqualityAmaintenanceGives AI agents live, verified LLM API prices from apipriceindex.com, enabling cost estimation, model search, and price lookups with verification metadata.8134 PyPIMIT
indextkn MCP serverofficial
AlicenseNot gradedqualityBmaintenanceEnables agents to query live AI model pricing, compare providers, and calculate token workload costs from current published prices.MIT- AlicenseNot gradedqualityAmaintenanceEnables AI agents to list and compare LLM API prices per million tokens, rank the cheapest models by context and keyword, look up GPU rental rates per hour by provider, and estimate self-hosting cost per million tokens against API pricing. Pricing data comes from OpenRouter's public models endpoint plus a dated GPU price CSV, with source URLs and explicit notes when data is missing.MIT
- AlicenseNot gradedqualityBmaintenanceEnables assistants to access up-to-date LLM pricing, context windows, and model identifiers, with tools to estimate costs, find cheapest models, and check scheduled price changes.30 npmMIT
- AlicenseNot gradedqualityDmaintenanceProvides live LLM pricing data from OpenRouter, enabling agents to search models, get pricing, estimate costs, and compare models.90 npmMIT
- FlicenseNot gradedqualityBmaintenanceGives agents ten read-only tools over a free, keyless AI inference price index API, covering latest values, full series history, the model price basket, launches and price changes, speed, open vs closed comparisons, self-hosting, and cost per completed task. Enables looking up and comparing what AI inference costs without authentication.-
TDQS
Scored across 5 tools
Each tool serves a distinct purpose: compare for side-by-side price comparison, cost_from_usage for token cost calculation, current_price for today's price, list_models for model discovery, and price_on for historical price lookup. There is no functional overlap.
Names are all lowercase with underscores for multi-word terms (e.g., cost_from_usage, current_price). While not strictly verb-noun (compare is verb-only, price_on is noun-preposition), the pattern is consistent and readable, with no mixing of conventions.
Five tools is well-scoped for an AI pricing index: listing models, current and historical prices, comparison, and cost estimation. Each tool earns its place without unnecessary redundancy or shortage.
The tool set covers the core lifecycle: discovery, current price, historical price, comparison, and cost calculation. A minor gap is the lack of historical cost calculation using past multipliers, but this does not severely impair agent workflows.