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Scrape and compare LLM inference pricing across providers in one database.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "LLM Pricing Scraper MCP Server" yet — see the docs or source repo.
Scrape the latest LLM inference pricing from Cloudrift, DeepInfra, Fireworks, and Groq, store everything in SQLite, and generate a comparison table by input/output token rates.
A summary of stored pricing data plus a comparison table organized by provider and model.
Using the latest pricing in the database, find the top five models with the lowest input cost and lowest output cost for similar context windows, and list their providers.
A cost-ranked model list including pricing, context window, and provider details.
Compare the current scrape with the previous database snapshot, list models with price increases or decreases, and report percentage changes.
A pricing change report showing affected models, change direction, old price, new price, and percentage difference.
Parse multi-cloud IaC and generate real-time cost estimates and comparisons.
Get real-time AI model pricing, capabilities, and context window details.
Use Groq models via MCP clients for fast multimodal inference.
Delegate low-risk tasks to a cheaper model with main-agent review.
Access verified monthly software pricing to compare vendors and find the cheapest options.
Query normalized usage, cost, and dashboard data across OpenAI and Anthropic.