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100
MCP live MCP 2025-06-18 streamable-http

AI Pricing Hub

io.github.gishh/aipricinghub

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

Uptime
100.0%
1 direct probes · 30d
Response
225ms
last probe
Tools
11
callable
Resources
12
readable
Prompts
5
available
Primary URL
https://aipricinghub.com/mcp/rpc

Tools · 11

search_models

Search the pricing catalog with provider, workload, context, and price filters.

compare_models

Compare pricing, context, and sourced benchmarks for model IDs.

calculate_cost

Estimate cost from model pricing and token volumes.

find_cheapest

Find cheapest models by combined listed input plus output token price.

find_best_value

Rank models by available benchmark signal per listed token price.

provider_summary

Summarize model count, prices, benchmarks, and changes for a provider.

pricing_history

Return historical pricing snapshots for a model ID.

benchmark_lookup

Find sourced benchmark rows by model, provider, or benchmark ID.

latest_changes

Return recent model launches, removals, and pricing changes.

search_news

Search AI Pricing Hub news items.

recommend_model

Recommend models for a workload using price, context, and benchmark evidence.

Resources · 12

providers

Provider catalog and pricing sources

aiph://providers
models

Model pricing catalog

aiph://models
rankings

Generated model ranking groups

aiph://rankings
benchmarks

Sourced benchmark definitions and records

aiph://benchmarks
history

Historical model pricing snapshots by provider

aiph://history
pricing

Token pricing rows and provider source links

aiph://pricing
calculator

Cost calculator input schema and pricing assumptions

aiph://calculator
workloads

Supported workload recommendation categories

aiph://workloads
news

AI news feed items

aiph://news
changelog

Detected model and pricing changes

aiph://changelog
provider_trends

Provider-level model counts and price summaries

aiph://provider-trends
freshness

Pricing freshness, verification, and confidence metadata

aiph://freshness

Prompts · 5

best_model_for_coding

Find the best coding model from price and benchmark evidence.

best_model_for_rag

Find models for retrieval-augmented generation and long-context work.

cheapest_model

Find the cheapest model for a provider or workload.

compare_models

Compare two or more AI models.

enterprise_recommendation

Recommend enterprise-ready models with source-backed pricing.

How to use

Add to your Claude Desktop / Cursor / Cline MCP config:

{
  "mcpServers": {
    "ai_pricing_hub": {
      "url": "https://aipricinghub.com/mcp/rpc",
      "transport": "streamable-http"
    }
  }
}