Connect-MCP

AI Pricing Hub

io.github.gishh/aipricinghub · v1.0.0

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

MCPremoteno credentials

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 11 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 99/100

What it does: 11 tools · 11 read, 0 write

Test call search_models: worked (998 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +9
  • Read/write annotations: +5
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://aipricinghub.com/mcp/rpc

Tools

11 tools listed at last check
  • 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 total input tokens, their cached subset, output tokens and request count. Optional batch_mode uses available batch rates with standard-rate fallback.
  • 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.

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