OECD MCP Server

A Model Context Protocol (MCP) server providing AI assistants access to OECD's 5,000+ economic and statistical datasets via SDMX API. By connecting to the MCP server, you can use AI to search, analyze, and compare data from 38 OECD countries across economy, health, education, environment, and more.

Quick Start

The easiest way to connect an LLM / AI chatbot to the MCP server is via the published npm package oecd-mcp using npx. Below you'll find guides for different clients.

Claude Desktop

1. Open Claude Desktop settings → Developer → "Edit Config"

2. Add to the JSON file:

{
  "mcpServers": {
    "oecd": {
      "command": "npx",
      "args": ["-y", "oecd-mcp"]
    }
  }
}

3. Save and restart Claude Desktop

Claude Code

claude mcp add oecd npx -y oecd-mcp

Verify: claude mcp list

OpenAI Codex

~/.codex/config.toml:

[mcp.oecd]
command = "npx"
args = ["-y", "oecd-mcp"]
transport = "stdio"

From Source

git clone https://github.com/isakskogstad/OECD-MCP.git
cd OECD-MCP
npm install
npm run build

Then point your client at node /absolute/path/to/OECD-MCP/dist/index.js, e.g.:

{
  "mcpServers": {
    "oecd": {
      "command": "node",
      "args": ["/absolute/path/to/OECD-MCP/dist/index.js"]
    }
  }
}

Features

The server connects to the OECD SDMX API providing access to 5,000+ datasets across 17 categories:

OECD SDMX API Access to quarterly national accounts (QNA), main economic indicators (MEI), health statistics, education data, environmental indicators, and more from 38 OECD member countries plus partner economies.

The MCP server implements the MCP protocol with support for:

• 9 tools — Dataset discovery (5) and data access (4)
• 7 resources — Categories, countries, filter guide, glossary, LLM instructions
• 7 prompt templates — Economic analysis, country comparisons, Nordic focus

Tools

Resources

Prompt Templates

Use Cases

Economists & Researchers

Tools:

Examples:

• "Compare GDP growth between G7 countries 2020-2024"
• "Analyze inflation trends in the Eurozone"
• "Find data on labor productivity by sector"

App Example:

Mobile economic brief with GDP trends, G7 comparison charts, and sparkline visualizations from the QNA dataset.

Policy Analysts

Tools:

Examples:

• "What healthcare spending data is available for Sweden?"
• "Find education outcome indicators for PISA analysis"
• "Compare environmental policies across Nordic countries"

App Example:

Health statistics dashboard with donut chart overview and country comparison from the HEALTH_STAT dataset.

Data Journalists

Tools:

Examples:

• "Get latest unemployment figures for EU countries"
• "Find income inequality data (Gini coefficient)"
• "Compare tax revenues as % of GDP"

Data Categories

About

Created by: Isak Skogstad

Contact: isak.skogstad@me.com

Disclaimer: This project is independent and not affiliated with, endorsed by, or officially connected to the OECD (Organisation for Economic Co-operation and Development).

Terms of use: Data is provided via OECD's open SDMX API. See OECD Terms and Conditions for usage conditions.

Resources

• OECD Data Portal: https://data.oecd.org/
• SDMX Standard: https://sdmx.org/
• MCP Documentation: https://modelcontextprotocol.io/
• npm Package: https://www.npmjs.com/package/oecd-mcp
• Issues: GitHub Issues

Built with Model Context Protocol SDK | Version 4.0.0