mcpbeat

AI Pricing Hub MCP Server

io.github.gishh/aipricinghub
answering

AI Pricing Hub is answering right now. Last checked 14 min ago. It exposes 11 tools.

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

The linked repository no longer exists on GitHub — it was deleted or made private.

Uptime history 41 hours of history
41 hours agonow
100.0%
Uptime 24h
91 of 91 checks
11
Tools
read from the server
127 ms
Response time
average over 24h
open, no key
Access
streamable-http

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 14 min ago.

run in your terminal
claude mcp add aipricinghub --transport http https://aipricinghub.com/mcp/rpc
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "aipricinghub": {
      "url": "https://aipricinghub.com/mcp/rpc"
    }
  }
}
~/.codex/config.toml
[mcp_servers.aipricinghub]
url = "https://aipricinghub.com/mcp/rpc"
.cursor/mcp.json
{
  "mcpServers": {
    "aipricinghub": {
      "url": "https://aipricinghub.com/mcp/rpc"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "aipricinghub": {
      "url": "https://aipricinghub.com/mcp/rpc"
    }
  }
}

Available tools 11

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

benchmark
benchmark_lookup
Find sourced benchmark rows by model, provider, or benchmark ID.
best
find_best_value
Rank models by available benchmark signal per listed token price.
calculate
calculate_cost
Estimate cost from model pricing and token volumes.
cheapest
find_cheapest
Find cheapest models by combined listed input plus output token price.
compare
compare_models
Compare pricing, context, and sourced benchmarks for model IDs.
latest
latest_changes
Return recent model launches, removals, and pricing changes.
models
search_models
Search the pricing catalog with provider, workload, context, and price filters.
news
search_news
Search AI Pricing Hub news items.
pricing
pricing_history
Return historical pricing snapshots for a model ID.
provider
provider_summary
Summarize model count, prices, benchmarks, and changes for a provider.
recommend
recommend_model
Recommend models for a workload using price, context, and benchmark evidence.

Endpoints

URLTransportStateLatencyChecked
https://aipricinghub.com/mcp/rpc streamable-http answering 145 ms 14 min ago

AI Pricing Hub — questions

Answers built from our own checks of this server.

What can AI Pricing Hub do?
It exposes 11 tools, read directly from the server on our last check. Among them: benchmark_lookup, calculate_cost, compare_models, find_best_value, find_cheapest, latest_changes and 5 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is AI Pricing Hub working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 127 ms. The bar chart above shows every period we have measured.
Is AI Pricing Hub still maintained?
The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.
How do I connect AI Pricing Hub?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does AI Pricing Hub need an API key?
No. AI Pricing Hub completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 11 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is AI Pricing Hub?
It answers our handshake in 127 ms on average, which is faster than 78% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.