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awesome-ai-for-economists MCP Server

hanlulong/awesome-ai-for-economists

Score: 66.2 Rank #4841 MCP Server
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A curated list of AI tools, agent skills, libraries, and resources for economics research, teaching, and policy analysis. Maintained by the OpenEcon team.

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Overview

hanlulong/awesome-ai-for-economists is a tool licensed under CC0-1.0. A curated list of AI tools, agent skills, libraries, and resources for economics research, teaching, and policy analysis. Maintained by the OpenEcon team. Topics: ai, awesome, awesome-list, causal-inference, econometrics, economics, economists, generative-ai, llm, machine-learning, research-tools, social-science, artificial-intelligence, mcp, stata.

Ranked #4841 out of 24846 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

CC0-1.0
aiawesomeawesome-listcausal-inferenceeconometricseconomicseconomistsgenerative-aillmmachine-learningresearch-toolssocial-scienceartificial-intelligencemcpstata

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 667

667 stars → growing community

Freshness 25% 7d ago

Last commit 7d ago → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 137
Description Detailed
License CC0-1.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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From the README

# Awesome AI for Economists 

A curated list of AI tools, libraries, and resources transforming how economists conduct research, teach, and analyze policy — from natural language data access to causal machine learning.

> **Scope:** Tools with specific value for economists. General-purpose AI assistants are in the [Appendix](#appendix-general-purpose-ai).

### Highlights

> This list is maintained by the [OpenEcon](https://openecon.ai/) team — building open-source infrastructure connecting AI to economics.
>
> - **[AI-research-setup](https://github.com/hanlulong/AI-research-setup)** — New to this? Start here to set up Claude Code and Codex for economics research on macOS and Windows. 
> - **[OpenEcon Data](https://openecon.ai/)** — Query 330,000+ economic indicators from FRED, World Bank, IMF, and 10+ sources in plain English. Available as [web app](https://data.openecon.ai), Python API, and [MCP server](https://github.com/hanlulong/openecon-data). 
> - **[Stata-MCP](https://github.com
Read full README on GitHub →

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