INDIVIDUAL MCP TOOL

token_cost

Modelled, not measured: a listed GPU-hour rate divided by the output throughput NVIDIA published for that card and model, per million output tokens, at the cheapest live on-demand rate card and at the median, with NVIDIA's run (model, framework, precision, sequence, concurrency, date).

gpueconomy.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://gpueconomy.com/mcp

No auth detected

Connect to this endpoint to inspect the live schema for token_cost and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

gpueconomy.com

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.gpueconomy]
url = "https://gpueconomy.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "gpueconomy": {
      "type": "http",
      "url": "https://gpueconomy.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: gpueconomy
Remote MCP URL: https://gpueconomy.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "gpueconomy": {
      "url": "https://gpueconomy.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

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

Generic MCP

Client-specific MCP configuration

{
  "name": "gpueconomy",
  "transport": "streamable-http",
  "url": "https://gpueconomy.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

list_gpus — Every GPU model tracked, with its id, VRAM, how many providers list it and the median on-demand rate card in USD per GPU-hour.
gpu_prices — Current listed rental prices for one GPU model across providers, cheapest first, in USD per GPU-hour, each with the time it was read and the GPU Economy page that links its source.
provider_prices — Every current listed rental price at one provider (runpod, lambda, aws, vast-ai, ...), in USD per GPU-hour, each with its read time and the GPU Economy page that links its source.
price_index — The Cloud GPU Price Index: median listed on-demand H100 SXM rate across providers, this week and the last eight weeks, with the base-100 index and the receipts; also the newest hourly point and the monthly averages over a fixed panel.
recent_price_changes — Listed prices that changed in the last 30 days, one row per quote, newest change first: the figure before its first change in the window, the figure now, and how many times it changed.
find_gpus — GPU models that meet a memory and price requirement, cheapest first: for each card its cheapest live on-demand rate card (provider, read time, page), its median rate card and panel size, VRAM and price per GB of VRAM.
compare_gpus — Two GPU models side by side: VRAM, median rate card and panel size, cheapest on-demand rate, price per GB of VRAM, retail median where one exists, and every provider that lists both on-demand with the signed difference.
compare_providers — Two providers on every GPU both list on-demand today: each side's cheapest on-demand rate card, the difference and which is lower, and the count.