12 calculators for AI cost, energy and agent verification. Free API, no key.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β we're steadily working through the catalog.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by AI Economics.
token_costWhat do 1M tokens cost per month across GPT, Claude, Gemini, DeepSeek?
context_windowHow many tokens is 50 pages, does it fit, what does carrying it cost?
agent_hourWhat does one hour of an AI agent cost, fully loaded with verification?
model_routingHow much does routing to a cheaper tier save per year?
llm_energyHow much electricity does an AI query use?
joules_per_verified_taskWhich model is most efficient per task that actually passes?
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 β no key, no sign-up,
stateless (inputs are never stored). The math is the same as the interactive calculators.
Claude Desktop / Claude Code (claude_desktop_config.json / .mcp.json):
Claude Code one-liner:
| 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, COβ? |
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.
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% β supervised autonomy. The gap vs the claimed 90% is 28.4 pp, and the biggest lever is independent validationβ¦
| Env var | Default | Purpose |
|---|---|---|
AI_ECONOMICS_API | https://piszczek.pl/tools/api | Point at a self-hosted instance |
Glama generates its own Dockerfile from the build configuration. Use these settings:
["npm ci --omit=dev"]["mcp-proxy", "--", "node", "index.js"]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:
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.
MIT. Concepts and calculators by MichaΕ Piszczek (CC BY 4.0 β attribution appreciated).
Factual signals from GitHub, npm, and our automated checks β not a rating.
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