All servers · AI models & agents
AI Pricing Hub
io.github.gishh/aipricinghub · v1.0.0
No registry update 90+ days
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2025-06-18 |
| Rank score | — |
| Declared risk | Read-only (all tools declare readOnlyHint) |
| Capabilities declared | prompts, resources, tools |
| Tool definitions | 11 tools · with description 100% · input schema is an object 100% · read/destructive hints 100% |
Description written by the publisher, not verified
Source-backed AI model pricing, rankings, history, and benchmark data.
Connect
streamable-http · https://aipricinghub.com/mcp/rpc
claude mcp add --transport http aipricinghub https://aipricinghub.com/mcp/rpc{
"mcpServers": {
"aipricinghub": {
"url": "https://aipricinghub.com/mcp/rpc"
}
}
}Tools as reported by the server
search_modelsSearch the pricing catalog with provider, workload, context, and price filters.compare_modelsCompare pricing, context, and sourced benchmarks for model IDs.calculate_costEstimate cost from total input tokens, their cached subset, output tokens and request count. Optional batch_mode uses available batch rates with standard-rate fallback.find_cheapestFind cheapest models by combined listed input plus output token price.find_best_valueRank models by available benchmark signal per listed token price.provider_summarySummarize model count, prices, benchmarks, and changes for a provider.pricing_historyReturn historical pricing snapshots for a model ID.benchmark_lookupFind sourced benchmark rows by model, provider, or benchmark ID.latest_changesReturn recent model launches, removals, and pricing changes.search_newsSearch AI Pricing Hub news items.recommend_modelRecommend models for a workload using price, context, and benchmark evidence.
Repository · Website · JSON · Text for agents · Registry updated 2026-07-13