AI Economics MCP server

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.

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 (claudedesktopconfig.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

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 proofadjustedautonomy): PAA = 61.6% — supervised autonomy. The gap

vs the claimed 90% is 28.4 pp, and the biggest lever is independent validation…

Configuration

Glama builds and releases

Glama generates its own Dockerfile from the build configuration. Use these settings:

• Build steps: ["npm ci --omit=dev"]
• CMD arguments: ["mcp-proxy", "--", "node", "index.js"]
• Environment variables: optional AIECONOMICSAPI; 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:

docker build -t ai-economics-mcp .
docker run -i --rm ai-economics-mcp

Concepts behind the tools

Shortened. The full README is on GitHub.