# AI Pricing Hub MCP server

Source-backed AI model pricing, rankings, history, and benchmark data.

## Links
- Registry page: https://www.getdrio.com/mcp/io-github-gishh-aipricinghub
- Repository: https://github.com/gishh/aipricinghub
- Website: https://aipricinghub.com/mcp/

## Install
- Endpoint: https://aipricinghub.com/mcp/rpc
- Auth: Not captured

## Setup notes
- Remote endpoint: https://aipricinghub.com/mcp/rpc

## Tools
- search_models (Search models) - Search the pricing catalog with provider, workload, context, and price filters. Endpoint: https://aipricinghub.com/mcp/rpc
- compare_models (Compare models) - Compare pricing, context, and sourced benchmarks for model IDs. Endpoint: https://aipricinghub.com/mcp/rpc
- calculate_cost (Calculate cost) - Estimate cost from model pricing and token volumes. Endpoint: https://aipricinghub.com/mcp/rpc
- find_cheapest (Find cheapest) - Find cheapest models by combined listed input plus output token price. Endpoint: https://aipricinghub.com/mcp/rpc
- find_best_value (Find best value) - Rank models by available benchmark signal per listed token price. Endpoint: https://aipricinghub.com/mcp/rpc
- provider_summary (Provider summary) - Summarize model count, prices, benchmarks, and changes for a provider. Endpoint: https://aipricinghub.com/mcp/rpc
- pricing_history (Pricing history) - Return historical pricing snapshots for a model ID. Endpoint: https://aipricinghub.com/mcp/rpc
- benchmark_lookup (Benchmark lookup) - Find sourced benchmark rows by model, provider, or benchmark ID. Endpoint: https://aipricinghub.com/mcp/rpc
- latest_changes (Latest changes) - Return recent model launches, removals, and pricing changes. Endpoint: https://aipricinghub.com/mcp/rpc
- search_news (Search news) - Search AI Pricing Hub news items. Endpoint: https://aipricinghub.com/mcp/rpc
- recommend_model (Recommend model) - Recommend models for a workload using price, context, and benchmark evidence. Endpoint: https://aipricinghub.com/mcp/rpc

## Resources
- aiph://providers - Providers Provider catalog and pricing sources MIME type: application/json
- aiph://models - Models Model pricing catalog MIME type: application/json
- aiph://rankings - Rankings Generated model ranking groups MIME type: application/json
- aiph://benchmarks - Benchmarks Sourced benchmark definitions and records MIME type: application/json
- aiph://history - History Historical model pricing snapshots by provider MIME type: application/json
- aiph://pricing - Pricing Token pricing rows and provider source links MIME type: application/json
- aiph://calculator - Calculator Cost calculator input schema and pricing assumptions MIME type: application/json
- aiph://workloads - Workloads Supported workload recommendation categories MIME type: application/json
- aiph://news - News AI news feed items MIME type: application/json
- aiph://changelog - Changelog Detected model and pricing changes MIME type: application/json
- aiph://provider-trends - Provider trends Provider-level model counts and price summaries MIME type: application/json
- aiph://freshness - Freshness Pricing freshness, verification, and confidence metadata MIME type: application/json

## Prompts
- best_model_for_coding - Best model for coding Find the best coding model from price and benchmark evidence. Arguments: budget
- best_model_for_rag - Best model for RAG Find models for retrieval-augmented generation and long-context work. Arguments: min_context_tokens
- cheapest_model - Cheapest model Find the cheapest model for a provider or workload. Arguments: provider
- compare_models - Compare models Compare two or more AI models. Arguments: model_ids
- enterprise_recommendation - Enterprise recommendation Recommend enterprise-ready models with source-backed pricing. Arguments: provider

## Metadata
- Owner: io.github.gishh
- Version: 1.0.0
- Runtime: Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Jul 13, 2026
- Source: https://registry.modelcontextprotocol.io