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pyeconomics

by pyeconomics-devversion 1.0.0b1i★ –iRuns on your computer
Registry nameio.github.pyeconomics-dev/pyeconomics

Install

Overview

Description from the maker (original English)

Tested, cited economics and finance models and data, with a provenance manifest per result.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Accounting, finance & tax

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "pyeconomics": {
      "command": "uvx",
      "args": [
        "pyeconomics",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add pyeconomics -- uvx pyeconomics mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "pyeconomics": {
      "command": "uvx",
      "args": [
        "pyeconomics",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "pyeconomics": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "pyeconomics",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account pyeconomics-dev, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Accounting, finance & taxi

  • More stars than 0% of the other 2919 servers in this category
  • Published to the registry more recently than 73% of the other 2919 servers in this category
  • Basic checks equal to or better than 100% of the other 2919 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is pyeconomics safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0b1) reached the registry 11 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Finance Toolkit, SolidInvoice, Korea Tax Calculator

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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500+ transparent financial methods calculated from raw statements, not third-party endpoints.

Computer or cloud★ 5,496MITUpdated yesterday
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SolidInvoice

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Create and send invoices and quotes, manage clients, and track payments in SolidInvoice.

Runs in the cloud★ 981MITUpdated 9 days ago
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

pyeconomics

Status: 1.0.0b1 is a beta pre-release on PyPI. Install explicitly with

pip install --pre pyeconomics==1.0.0b1 (Python 3.12 or later).

Plain pip install pyeconomics still installs 0.2.6, the stable release.

Pre-releases carry no stability promise until 1.0.0.

pyeconomics provides 50 tested, cited economics and finance model families across 13 domains: foundations, fixed income, derivatives, international, equity, corporate, accounting, portfolio, performance, risk, econometrics, macroeconomics and asset pricing. The data platform adds 31 providers, 171 catalog concepts and live bindings with real-time vintages. Every model is served identically through the Python API, the pyeconomics command line, the REST API (pyeconomics serve), the MCP server (pyeconomics mcp) and tabular or reproducibility-bundle exports. Typed inputs declare units and bounds; every result carries a reproducible provenance manifest. Rates and percentages are decimals: 0.05 means 5%.

Use the 1.0 documentation preview for formulas, assumptions and examples, and the beta release notes for the shipped surfaces and known limitations. See the CLI guide, REST API guide, MCP server guide, exports guide, AI narrative guide, data guide and keys guide to get started. Install optional econometrics, plotting, REST API and MCP support with pip install --pre "pyeconomics[econometrics,plot,server,mcp]==1.0.0b1", or run the MCP server directly with uvx --from "pyeconomics[mcp]==1.0.0b1" pyeconomics mcp.

This beta replaces the 0.2.x API and adds the command line, exports and reproducibility bundles, REST API, MCP server and optional AI narrative on top of the model engine and data platform. The web app arrives in Phase 5; the project roadmap and architecture decisions record that plan. Keep legacy workloads in a separate environment.

pyeconomics 0.2.x

0.2.6 is the current stable release of the 0.2.x line: four monetary-policy rules over FRED data.

  • It is MIT-licensed. Its source lives on the legacy/0.2.x branch, and its documentation at https://pyeconomics.readthedocs.io/.
  • It receives security fixes only, and reaches end of life when 1.0.0 is released. Pins such as pyeconomics<1 keep working.
  • 0.2.0 to 0.2.5 log the FRED API key at DEBUG level. Upgrade to 0.2.6 and rotate any key those versions used: see advisory GHSA-j6rp-vwwv-jrr8.

Not to be confused with

This project is not davidrpugh/pyeconomics (computational-economics course code from 2013–14) or pyecon.org (a site teaching Python for economics). The three share only the name.

Contributing and security

Licence

From 1.0, pyeconomics is licensed under the Apache License 2.0; see also NOTICE. Releases up to and including 0.2.x remain MIT-licensed.

Notices

As is; not investment advice. pyeconomics is for educational and informational use only, and is not registered with any regulator.

CFA® and Chartered Financial Analyst® are trademarks owned by CFA Institute. pyeconomics is not affiliated with, endorsed by, or a Prep Provider of CFA Institute.

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