MCP server

Aguasto Engineering Calculators Official

com.aguasto.www/tools

Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools

Educational model-memory, facility-energy and completed-token cost calculations.

Website

At a glance

Type

MCP server

Publisher

aguasto.com (verified by the MCP Registry)

Status

Working at last check

Tools

3

Token cost

About 341 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

28 Oct 2026, 09:03 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

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 tools https://www.aguasto.com/mcp/tools

Claude Desktop

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

Codex (config.toml)

[mcp_servers.tools]
url = "https://www.aguasto.com/mcp/tools"

Gemini CLI

{"mcpServers":{"tools":{"httpUrl":"https://www.aguasto.com/mcp/tools"}}}

Cursor

{"mcpServers":{"tools":{"url":"https://www.aguasto.com/mcp/tools"}}}

VS Code

{"servers":{"tools":{"type":"http","url":"https://www.aguasto.com/mcp/tools"}}}

Antigravity

agy mcp add tools https://www.aguasto.com/mcp/tools

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":"tools","server_url":"https://www.aguasto.com/mcp/tools","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"tools","server_url":"https://www.aguasto.com/mcp/tools"}

Tools

• facility_energy ~127 tokens
  Calculate PUE-adjusted facility kW, kWh and illustrative electricity cost. No facility measurement or commercial quote.
• token_cost ~106 tokens
  Calculate illustrative USD per million completed tokens from supplied cost and token count; not Aguasto pricing.
• weight_memory ~108 tokens
  Estimate model weight memory in decimal GB and binary GiB; excludes KV cache, activations and runtime overhead.

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