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Built for the Claude Code community with Claude Code by mertbuilds.com

Independent project, not affiliated with Anthropic
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Oecd

pipeworx-io/mcp-oecd
HTTPregistry active
Summary

Connects Claude to the OECD's economic and development datasets through Pipeworx's gateway infrastructure. The source doesn't detail specific tools, but OECD data typically covers GDP, employment, trade statistics, education metrics, and environmental indicators across member countries. You can query it through individual tool calls or use the ask_pipeworx natural language interface to request data without knowing exact parameters. Part of a larger gateway offering 250+ data sources, so you can add just the OECD endpoint or connect to the full Pipeworx hub. Useful when you need authoritative economic data for analysis, research, or building applications that require international statistics.

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@pipeworx/oecd

OECD data MCP — SDMX 2.1 REST API at sdmx.oecd.org, no auth.

Part of Pipeworx — an MCP gateway connecting AI agents to 1476+ live data sources.

Tools

  • list_curated_flows(topic?) — pre-vetted dataflow refs by topic.
  • search_dataflows(query, agency?, limit?) — keyword search against the dataflow registry.
  • fetch_dataset(flow_ref, key?, start_period?, end_period?, limit?) — tidy CSV-with-labels rows for any OECD dataflow.

Finding flow refs

Browse https://data-explorer.oecd.org interactively, or use search_dataflows.

Data source

https://sdmx.oecd.org/public/rest/ — public, no key required.

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "oecd": {
      "url": "https://gateway.pipeworx.io/oecd/mcp"
    }
  }
}

What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/oecd/mcp returns the tools in the table above plus the shared Pipeworx meta-tools — ask_pipeworx, discover_tools, search_within, remember/recall and the rest of the gateway-wide set. So the tool count you see is larger than this table: a single-pack endpoint currently lists roughly 30 shared tools alongside the pack's own. The connection's initialize response states its exact scope, and is the authoritative answer for a given day.

This is deliberate, not multiplexing by accident. The meta-tools are what let a scoped connection answer a question this pack does not cover — via ask_pipeworx, which routes across the whole catalog — without you adding a second MCP server. There is currently no way to mount a pack endpoint without them; if the extra schemas cost you more context than the routing is worth, connect to the full gateway once rather than to several pack endpoints.

Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Both URLs reach the same gateway and the same 1476+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:

ask_pipeworx({ question: "your question about Oecd data" })

The gateway picks the right tool and fills the arguments automatically.

More

  • Docs and guides
  • pipeworx.io

License

MIT

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Categories
Data & Analytics
Registryactive
TransportHTTP
UpdatedMay 11, 2026
View on GitHub

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