MCP server

AI Pricing Hub

io.github.gishh/aipricinghub

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Working at last checkAbout 1,509 tokens per request once connected11 tools

https://aipricinghub.com/mcp/rpc

At a glance

Type: MCP server
Publisher: Not verified
Status: Working at last check
Tools: 11
Token cost: About 1,509 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http aipricinghub https://aipricinghub.com/mcp/rpc

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.aipricinghub]
url = "https://aipricinghub.com/mcp/rpc"

Gemini CLI

{"mcpServers":{"aipricinghub":{"httpUrl":"https://aipricinghub.com/mcp/rpc"}}}

Cursor

{"mcpServers":{"aipricinghub":{"url":"https://aipricinghub.com/mcp/rpc"}}}

VS Code

{"servers":{"aipricinghub":{"type":"http","url":"https://aipricinghub.com/mcp/rpc"}}}

Antigravity

agy mcp add aipricinghub https://aipricinghub.com/mcp/rpc

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"aipricinghub","server_url":"https://aipricinghub.com/mcp/rpc","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"aipricinghub","server_url":"https://aipricinghub.com/mcp/rpc"}

benchmark_lookup ~157 tokens
Find sourced benchmark rows by model, provider, or benchmark ID.
calculate_cost ~215 tokens
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.
compare_models ~74 tokens
Compare pricing, context, and sourced benchmarks for model IDs.
find_best_value ~136 tokens
Rank models by available benchmark signal per listed token price.
find_cheapest ~135 tokens
Find cheapest models by combined listed input plus output token price.
latest_changes ~130 tokens
Return recent model launches, removals, and pricing changes.
pricing_history ~70 tokens
Return historical pricing snapshots for a model ID.
provider_summary ~76 tokens
Summarize model count, prices, benchmarks, and changes for a provider.
recommend_model ~164 tokens
Recommend models for a workload using price, context, and benchmark evidence.
search_models ~210 tokens
Search the pricing catalog with provider, workload, context, and price filters.
search_news ~142 tokens
Search AI Pricing Hub news items.

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