OECD MCP Server

OECD MCP Server

Provides AI assistants access to over 5,000 OECD economic and statistical datasets via the SDMX API for search, analysis, and comparison across 38 countries.

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README

<p align="center"> <img width="640" height="320" alt="OECD MCP Server banner" src="https://github.com/user-attachments/assets/25c886ab-4857-4960-be26-dd250f3155b0" /> </p>

OECD MCP Server

npm version MCP Registry MCP Protocol License

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.

<details> <summary>🇸🇪 Svenska</summary>

En Model Context Protocol (MCP) server som ger AI-assistenter tillgång till OECD:s 5,000+ ekonomiska och statistiska dataset via SDMX API. Genom att ansluta till MCP-servern kan du med hjälp av AI söka, analysera och jämföra data från 38 OECD-länder inom ekonomi, hälsa, utbildning, miljö och mer.

</details>


Quick Start

<details> <summary>🇸🇪 Snabbstart (Svenska)</summary>

Det är enkelt att ansluta en LLM / AI-chatbot till MCP-servern. Det enklaste sättet är att använda npm-paketet oecd-mcp via npx. Nedan finner du guider för olika klienter.

</details>

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

<details> <summary>🇸🇪 Funktioner (Svenska)</summary>

Servern ansluter till OECD SDMX API och ger tillgång till 5,000+ dataset i 17 kategorier.

OECD SDMX API Tillgång till kvartalsvis nationalräkenskaper (QNA), huvudsakliga ekonomiska indikatorer (MEI), hälsostatistik, utbildningsdata, miljöindikatorer och mer från 38 OECD-medlemsländer plus partnerekonomier.

MCP-servern implementerar MCP-protokollet med stöd för:

  • 9 verktyg — Dataset-upptäckt (5) och dataåtkomst (4)
  • 7 resurser — Kategorier, länder, filterguide, ordlista, LLM-instruktioner
  • 7 promptmallar — Ekonomisk analys, landsjämförelser, nordiskt fokus

</details>

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

Tool Description
search_dataflows Search for datasets by keyword
list_dataflows List datasets by category
get_categories List all 17 data categories
get_popular_datasets Get commonly used datasets
search_indicators Search for specific indicators
get_data_structure Get metadata for a dataset
query_data Query statistical data
get_dataflow_url Generate OECD Data Explorer link
list_categories_detailed Detailed category information

Resources

Resource Description
oecd://categories 17 data categories with descriptions
oecd://dataflows/popular Curated popular datasets
oecd://countries ISO 3166-1 alpha-3 country codes
oecd://filter-guide SDMX filter syntax guide
oecd://glossary Definitions of OECD terms
oecd://llm-instructions Instructions for AI assistants
oecd://api/info API information

Prompt Templates

Prompt Description
analyze_economic_trend Analyze economic trends over time
compare_countries Compare data between countries
get_latest_statistics Get latest statistics
explore_dataset Guided dataset exploration
find_data_for_question Find the right dataset for a question
build_filter Help building SDMX filters
nordic_comparison Compare Nordic countries

Use Cases

<details> <summary>🇸🇪 Användningsområden (Svenska)</summary>

Ekonomer & Forskare

Verktyg:

Verktyg Beskrivning
query_data Fråga BNP, inflation, arbetslöshetsdata
search_dataflows Hitta dataset för forskningsfrågor
get_data_structure Förstå dataset-dimensioner

Exempel:

  • "Jämför BNP-tillväxt mellan G7-länderna 2020-2024"
  • "Analysera inflationstrender i eurozonen"
  • "Hitta data om arbetsproduktivitet per sektor"

App-exempel: Mobil ekonomisk brief med BNP-trender och jämförelsediagram.


Policyanalytiker

Verktyg:

Verktyg Beskrivning
get_categories Bläddra i 17 policyområden
list_dataflows Hitta relevanta policy-dataset
get_dataflow_url Generera länkar för rapporter

Exempel:

  • "Vilken sjukvårdsutgiftsdata finns för Sverige?"
  • "Hitta utbildningsresultatindikatorer för PISA-analys"
  • "Jämför miljöpolicyer i nordiska länder"

App-exempel: Hälsostatistik-dashboard med donutdiagram och landjämförelser.


Datajournalister

Verktyg:

Verktyg Beskrivning
search_indicators Hitta specifika mätvärden
get_popular_datasets Få tillgång till ofta citerad data
query_data Hämta siffror för artiklar

Exempel:

  • "Hämta senaste arbetslöshetssiffror för EU-länder"
  • "Hitta inkomstojämlikhetsdata (Gini-koefficient)"
  • "Jämför skatteintäkter som % av BNP"

App-exempel: Produktivitetsjämförelse med stapeldiagram och trendlinjer.

</details>

Economists & Researchers

Tools:

Tool Description
query_data Query GDP, inflation, unemployment data
search_dataflows Find datasets for research questions
get_data_structure Understand dataset dimensions

Examples:

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

App Example:

<img width="320" alt="GDP Economic Brief" src="https://raw.githubusercontent.com/isakskogstad/OECD-MCP/main/assets/app-examples/app1-mobile-minimalist.png" />

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


Policy Analysts

Tools:

Tool Description
get_categories Browse 17 policy areas
list_dataflows Find relevant policy datasets
get_dataflow_url Generate links for reports

Examples:

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

App Example:

<img width="500" alt="Health Statistics" src="https://raw.githubusercontent.com/isakskogstad/OECD-MCP/main/assets/app-examples/app2-light-minimalist.png" />

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


Data Journalists

Tools:

Tool Description
search_indicators Find specific metrics
get_popular_datasets Access commonly cited data
query_data Get numbers for stories

Examples:

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

Data Categories

<details> <summary>View all 17 categories</summary>

Category Code Description Datasets
Economy ECO GDP, growth, inflation, interest rates 500+
Employment JOB Labor market, wages 300+
Trade TRD International trade 250+
Health HEA Healthcare, life expectancy 200+
Education EDU PISA, outcomes 180+
Environment ENV Climate, emissions 150+
Innovation STI R&D, patents, AI 140+
Energy NRG Production, renewables 120+
Taxation TAX Tax revenues, tax rates 100+
Finance FIN Markets, banking 95+
Government GOV Governance, public sector 90+
Social SOC Inequality, quality of life 85+
Agriculture AGR Production, food security 75+
Industry IND Industrial production 70+
Development DEV Development aid 60+
Transport TRA Infrastructure, mobility 50+
Regional REG Subnational data 45+

</details>


About

<details> <summary>🇸🇪 Om (Svenska)</summary>

Skapad av: Isak Skogstad

Kontakt: isak.skogstad@me.com

Fristående: Detta projekt är fristående och är inte anslutet till, godkänt av eller officiellt kopplat till OECD (Organisationen för ekonomiskt samarbete och utveckling).

Användarvillkor: Data tillhandahålls via OECD:s öppna SDMX API. Se OECD:s användarvillkor för användningsvillkor.

</details>

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

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