About Dbnomics
Dbnomics is an MCP server for searching statistical data from more than 80 providers. It supports provider and dataset discovery, filtered series searches, and time-series retrieval without authentication.
Key features
- 01Search across statistical providers
- 02List available providers
- 03Browse provider datasets
- 04Filter and retrieve time series
Use cases
- 01Find statistics across providers
- 02Locate a provider's dataset
- 03Retrieve observations for a series
MCP support
Exposes provider discovery, dataset browsing, search, and time-series tools to MCP clients. It can run as a local stdio server or be accessed through the Pipeworx gateway.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://gateway.pipeworx.io/dbnomics/mcpclaude mcp add --transport http pipeworx-io-dbnomics https://gateway.pipeworx.io/dbnomics/mcp{"mcpServers":{"pipeworx-io-dbnomics":{"type":"http","url":"https://gateway.pipeworx.io/dbnomics/mcp"}}}Open in Cursor{"servers":{"pipeworx-io-dbnomics":{"type":"http","url":"https://gateway.pipeworx.io/dbnomics/mcp"}}}Open in VS Code{"mcpServers":{"pipeworx-io-dbnomics":{"type":"http","url":"https://gateway.pipeworx.io/dbnomics/mcp"}}}{"mcpServers":{"pipeworx-io-dbnomics":{"serverUrl":"https://gateway.pipeworx.io/dbnomics/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project README@pipeworx/dbnomics
DBnomics MCP — meta-aggregator over 80+ statistics providers (Eurostat, BLS, ECB, FRED, IMF, OECD, World Bank, plus most national stats agencies). No auth.
Part of Pipeworx — an MCP gateway connecting AI agents to 1878+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.
Tools
search(query, limit?, offset?)— full-text search across all providerslist_providers()— what data sources are availablelist_datasets(provider, limit?, offset?)— datasets per providerget_series(provider, dataset, series_code, observations?)— time series datafind_series(provider?, dataset?, dimensions?, limit?, offset?)— structured filter
Data source
https://api.db.nomics.world/v22/ — public, JSON.
Provider codes are uppercase (ECB, BLS, EUROSTAT, IMF, OECD, WB, FRED, etc.). Dataset codes vary by provider.
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"dbnomics": {
"url": "https://gateway.pipeworx.io/dbnomics/mcp"
}
}
}
What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/dbnomics/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 1878+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
No MCP client? Call it over HTTP
curl -X POST https://gateway.pipeworx.io/v1/tools/dbnomics_search \
-H 'Content-Type: application/json' \
-d '{"query":"unemployment rate"}'
No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/dbnomics_search. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.
Standalone (no gateway account)
This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:
{
"mcpServers": {
"dbnomics": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-dbnomics"]
}
}
}
Or run it directly to confirm it starts:
npx -y @pipeworx/mcp-dbnomics
It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call
for only this pack's tools — none of the shared meta-tools the gateway
connection above adds. Same source, same tools, no ask_pipeworx routing.
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 Dbnomics data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.