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OECD MCP Server

Connects AI assistants to 5,000+ OECD datasets through SDMX search, metadata, statistical queries, and explorer links.

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Install OECD MCP Server

Pick your client, then add it in one click or paste the config.

STDIONode.js
~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "oecd-mcp-server-2": {
      "command": "npx",
      "args": [
        "-y",
        "oecd-mcp"
      ]
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

Automated check passed— started and listed 9 tools correctly (8d ago).

Overview

OECD MCP Server MCP server connects AI assistants to the OECD SDMX API and its 5,000+ economic and statistical datasets. It provides tools for discovering dataflows, searching indicators, inspecting dataset structures, querying statistics, and creating OECD Data Explorer links. The server runs over standard input/output through the published `oecd-mcp` npm package or from a locally built source checkout. Reach for it when an agent needs OECD data across 17 categories, including economics, health, education, and the environment.

Use cases

  • Compare GDP growth across OECD countries
  • Find datasets for an economic research question
  • Query inflation, unemployment, or health statistics
  • Inspect dataset dimensions before building a filter
  • Create OECD Data Explorer links for reports

Key features

  • Search 5,000+ OECD dataflows
  • Browse 17 data categories
  • Search indicators and inspect metadata
  • Query statistical data through SDMX
  • Generate OECD Data Explorer links
  • Access MCP resources and prompt templates

Tools9

What OECD MCP Server lets your agent do. Expand a tool for its parameters.

Verified live~793 tokens of context

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked 3d ago

Recent health check succeeded.

7/7 checks healthy over the last 45d

What it can do

From the 9 tools this server returned when we ran it.

Makes network requests · 2Read-only tools · 9
Network at startup3 connections
Files written at startupNone
Install scriptsprepare
npm provenanceNot published
Package age322 days
Maintainers1

Observed 2026-10-19 in an isolated sandbox. A description of reach, not a security audit.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 19h ago via OSV.dev · oecd-mcp (npm)

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars8Stargazers on the source repository.
npm downloads143Package downloads in the last 30 days.
Last commit6mo agoMost recent push to the default branch.
Availability100%Our rolling endpoint + install checks that succeeded.
Install checkPassedOur sandbox started it and listed its tools.
Tools exposed9Callable tools this server registers over MCP.
Directory activity1 viewsConfig copies, upvotes, and views on AllMCPs.

How OECD MCP Server works

What OECD MCP Server MCP server does

OECD MCP Server MCP server gives MCP-compatible AI clients access to OECD economic and statistical data through the OECD SDMX API. The catalog covers more than 5,000 datasets across 17 categories, including quarterly national accounts, main economic indicators, health statistics, education data, and environmental indicators. The available data includes information from OECD member countries and partner economies.

The server supports both dataset discovery and data retrieval. An agent can search by topic, browse categories, look up indicators, inspect a dataset's dimensions and metadata, then submit a statistical query. It can also produce a link to the corresponding OECD Data Explorer view for sharing or follow-up analysis.

How it works

The server communicates with an MCP client over stdio. A client starts the published npm package with npx, or launches the compiled Node.js entry point when running from source. Requests are handled through the OECD SDMX API rather than a local database, so the server acts as an MCP interface to OECD's catalog and statistical endpoints.

In addition to tools, the implementation exposes MCP resources for categories, popular dataflows, country codes, SDMX filter guidance, a glossary, AI-assistant instructions, and API information. It also includes prompt templates for trend analysis, country comparisons, latest statistics, dataset exploration, question-driven dataset discovery, filter construction, and Nordic comparisons.

Setup and configuration

The simplest installation uses the published oecd-mcp package with npx. Add an MCP server entry that runs npx -y oecd-mcp, then restart the client. Claude Code can register the same command with claude mcp add oecd npx -y oecd-mcp, while OpenAI Codex uses a stdio entry in ~/.codex/config.toml.

A source installation requires cloning the repository, running npm install, and building with npm run build. The client can then launch node with the absolute path to dist/index.js. No environment variables or API credentials are documented for this setup.

Tools and capabilities

The nine documented tools are:

  • search_dataflows searches datasets by keyword.
  • list_dataflows filters datasets by category.
  • get_categories returns the 17 available categories.
  • get_popular_datasets returns commonly used datasets.
  • search_indicators finds specific indicators.
  • get_data_structure returns dataset metadata and structure.
  • query_data retrieves statistical data.
  • get_dataflow_url creates an OECD Data Explorer link.
  • list_categories_detailed returns expanded category information.

Together, these tools support workflows that move from a broad research question to a selected dataflow, an understood filter structure, and a statistical result.

Limitations and notes

The server depends on the OECD SDMX API, so data availability follows the datasets and coverage provided by OECD. The documented transport is stdio, and client setup examples are provided for Claude Desktop, Claude Code, and OpenAI Codex.

Read the full README View source on GitHub

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Frequently Asked Questions about OECD MCP Server

OECD MCP Server is an MCP server that connects AI assistants to the OECD SDMX API and its economic and statistical datasets. Its main tools search dataflows and indicators, list categories, inspect dataset structures, query statistical data, retrieve popular datasets, and generate OECD Data Explorer links.

Install it by running the published `oecd-mcp` npm package with `npx -y oecd-mcp` from your MCP client configuration. You can also clone the repository, run `npm install`, build with `npm run build`, and launch the resulting `dist/index.js` file.

Yes, OECD MCP Server works with Claude Desktop through a stdio configuration that runs `npx -y oecd-mcp`. Add the server entry under Claude Desktop's Developer configuration, save the file, and restart the application.

Yes, the `query_data` tool queries statistical data through the OECD SDMX API. Use discovery tools such as `search_dataflows`, `search_indicators`, and `get_data_structure` first to identify a dataset and understand its metadata.

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