ai-economics-mcp
MCP server for AI economics, providing 12 calculators for AI budgets, token costs, query burn, and proving agent work.
README
ai-economics-mcp
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.
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):
{
"mcpServers": {
"ai-economics": {
"command": "npx",
"args": ["-y", "@michalpiszczek/ai-economics-mcp"]
}
}
}
Claude Code one-liner:
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 |
Concepts behind the tools
- Joule Wars — the AI race for energy efficiency
- Proof-Adjusted Autonomy — the metric of proven agent work
- Revocation Exposure — how long revoked authority keeps working
License
MIT. Concepts and calculators by Michał Piszczek (CC BY 4.0 — attribution appreciated).
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