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pyeconomics MCP Server

by pyeconomics-dev Your server? Claim it
local only

pyeconomics runs on your own machine — the client starts it, so there is no endpoint to ping. 745 installs a week from pypi. Last commit 2 Nov 2026.

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

Installs per day peak 380 · avg 66 · +112% w/w
a month agotoday
745
Installs / week
pypi · pyeconomics
11
Stars
40 open issues
2 Nov 2026
Last commit
from GitHub
Apache-2.0
License
Python

What the code does

We read the source, 23 h ago · rules 995398eba69f

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

File ships in the package but is absent from the source [пакет] __version__.py:1, [пакет] pyeconomics/__init__.py:1, [пакет] pyeconomics/api/__init__.py:1 и ещё 17
этот файл ставится пользователю, но в репозитории его нет
Unsafe deserialization [пакет] pyeconomics/api/cache_manager.py:60
                return pickle.load(f)
Builds a file path from a variable [пакет] pyeconomics/api/cache_manager.py:27
    return os.path.join(CACHE_DIR, f"{hashed_key}.pkl")
In the project's build, not in the package

Found in continuous integration, deployment or infrastructure files, or in a neighbouring package of the same monorepo. None of this is installed when you add the server: it describes how the project is built and released. We list it because a leaked key in a build pipeline is still a real problem, but it is not something this server does on your machine.

Asks for container control access .github/workflows/ci.yml:761
            -v /var/run/docker.sock:/var/run/docker.sock \

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add pyeconomics -- uvx pyeconomics
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "pyeconomics": {
      "command": "uvx",
      "args": [
        "pyeconomics"
      ]
    }
  }
}
~/.codex/config.toml
[mcp_servers.pyeconomics]
command = "uvx"
args = ["pyeconomics"]
.cursor/mcp.json
{
  "mcpServers": {
    "pyeconomics": {
      "command": "uvx",
      "args": [
        "pyeconomics"
      ]
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "pyeconomics": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "pyeconomics"
      ]
    }
  }
}

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pyeconomics — questions

Answers built from our own checks of this server.

Why is there no uptime for pyeconomics?
pyeconomics runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package pyeconomics was installed 745 times last week.
How do I connect pyeconomics?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls pyeconomics straight from pypi; nothing to host, nothing to sign up for.
How many people use pyeconomics?
The pypi package pyeconomics was installed 745 times in the last week. Week over week that is +112%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is pyeconomics open source?
Yes — it is published under the Apache-2.0 licence, written in Python, 11 stars on GitHub and 40 open issues. The source link is on this page, so you can read exactly what it does with your data before you connect it.