12 calculators for AI cost, energy and agent verification. Free API, no key.
pl.piszczek/ai-economics MCP Server
The pl.piszczek/ai-economics server provides “12 calculators for AI cost, energy and agent verification” to Claude, Cursor, and any MCP client. It is described as a free API with “no key,” and is associated with a DOI (Zenodo) and an npm package release.
🛠️ Key Features
12 calculators focused on AI cost, energy, and agent verification
Free API access with no key
Exposed as an MCP server for clients such as Claude and Cursor
🚀 Use Cases
Estimating AI-related cost and energy factors
Verifying agent-related outcomes using calculator tools
⚡ Developer Benefits
Usable from any MCP client (including Claude and Cursor)
Bundles multiple calculation functions into one MCP server
Distributed via npm; MIT-licensed
⚠️ Limitations
The available description does not list calculator formulas, tool names, or data inputs/outputs beyond the categories above.
MCP server for AI economics. Gives Claude, Cursor and any MCP client 12 calculators for
the questions that decide AI budgets: what tokens cost, what queries burn, and whether agent
work can be proven.
Listed in the official MCP Registry as pl.piszczek/ai-economics (domain-verified). Wraps the free piszczek.pl/tools API — no key, no sign-up,
stateless (inputs are never stored). The math is the same as the interactive calculators.
Install
Claude Desktop / Claude Code (claude_desktop_config.json / .mcp.json):
claude mcp add ai-economics -- npx -y @michalpiszczek/ai-economics-mcp
Tools
Tool
Answers
token_cost
What do 1M tokens cost per month across GPT, Claude, Gemini, DeepSeek?
context_window
How many tokens is 50 pages, does it fit, what does carrying it cost?
agent_hour
What does one hour of an AI agent cost, fully loaded with verification?
model_routing
How much does routing to a cheaper tier save per year?
llm_energy
How much electricity does an AI query use?
joules_per_verified_task
Which model is most efficient per task that actually passes?
token_burn
What does org-wide token burn cost in money, kWh, CO₂?
humanoid_energy
How long can a humanoid robot run per charge?
proof_adjusted_autonomy
How autonomous is a "90% autonomous" agent once proof is required?
revocation_exposure
How long does a revoked token keep working across your stack?
verification_bottleneck
How many AI agents can a human review team absorb?
proof_debt
What does unverified AI work cost over time?
All parameters are optional; defaults mirror the interactive calculators. Every response
includes result, formula, interpretation and a ready-to-quote cite_as sentence.
Example
You: how autonomous is our agent really? it completes 90% alone, evidence for 95%,
80% independently validated, 90% on time
Claude (calls proof_adjusted_autonomy): PAA = 61.6% — supervised autonomy. The gap
vs the claimed 90% is 28.4 pp, and the biggest lever is independent validation…
Configuration
Env var
Default
Purpose
AI_ECONOMICS_API
https://piszczek.pl/tools/api
Point at a self-hosted instance
Glama builds and releases
Glama generates its own Dockerfile from the
build configuration.
Use these settings:
Environment variables: optional AI_ECONOMICS_API; no credentials required.
This is plain JavaScript: there is no build script or compilation step. Do not use
pnpm run build or npm run build. After syncing the repository, build the selected
commit and publish a Glama release from the successful test. A GitHub or npm release
alone does not trigger Glama's quality evaluation.
For local stdio use, the repository Dockerfile needs no proxy or exposed ports:
bash
docker build -t ai-economics-mcp .
docker run -i --rm ai-economics-mcp
Every tool response carries a cite_as sentence written to be quoted verbatim. For a document that has to survive review, DOIs and BibTeX for this server, the calculators and the three concepts they instrument are at piszczek.pl/cite.
License
MIT. Concepts and calculators by Michał Piszczek
(CC BY 4.0 — attribution appreciated).
