MCP.Market

Nber Macrohistory MCP server

online · 100% uptime
by pipeworx-io·io.github.pipeworx-io/nber-macrohistory·v0.2.1

NBER Macrohistory Database — the National Bureau of Economic Research's 'Public Use Data Archive'…

B73/100grade B
What users say
No reviews yet
Be the first
Safety scan
B73/100

not scanned yet

Adoption
Growing

0 stars

Reviews

Write one

Nobody has reviewed Nber Macrohistory yet.

If you have run it, two minutes of your experience saves the next person an afternoon.

Nber Macrohistory tools

Tool list not cached yet. `describe` through the gateway fetches it live.

Not scanned yet. New listings are scanned within a day or two of arriving.

How Nber Macrohistory compares

Against every graded Databases MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
73/100
higher than 32% of 802 Databases servers
Uptime
100%
of our recent checks; the typical remote Databases server answers 100%
Response time
456 ms
faster than 23% of 292 Databases servers

Release history: 4 versions in the registry since 2026-09-26, latest 2026-11-03, typically one every 5 days.

Install Nber Macrohistory in Claude Code, Cursor or VS Code

claude mcp add --transport http nber-macrohistory https://gateway.pipeworx.io/nber-macrohistory/mcp
Add to Cursor

What the publisher says

From the Nber Macrohistory repository's README, as published. We do not edit it. Read it on GitHub

@pipeworx/nber-macrohistory

NBER Macrohistory Database — the National Bureau of Economic Research's public archive of long-run U.S. (and some international) macroeconomic series, most running from the 1800s through the 1960s, across 16 subject categories (prices, money & banking, production, construction, employment, agriculture, foreign trade, government finance, and more). Look up a specific series by its NBER id (e.g. m13045), or browse the ids in one of the 16 subject folders.

Part of Pipeworx — an MCP gateway connecting AI agents to 1683+ live data sources.

Tools

"m13045" or "a01006"). Returns the title, area covered, units, coverage dates and source notes (parsed from NBER's own documentation for that series) plus every dated observation. m = monthly, a = annual, q = quarterly. If you only have the bare digits, it tries monthly, then annual, then quarterly, and returns whichever exists.

  • nbermacrohistoryseries(series_id) — one series by its NBER id (e.g.

16 subject-category folders ("01" through "16"). No titles (the directory listing doesn't carry them) — call nbermacrohistoryseries on an id to see what it is.

  • nbermacrohistorylist_series(category) — every series id in one of the

Auth

Keyless.

Data sources

archive's landing page (background only, not fetched by this pack).

  • — the

the series' raw fixed-width data file. — the series' documentation header (title, area, units, coverage, source, notes).

  • —

category's directory listing, scraped for nbermacrohistorylist_series.

  • — a

This is a live per-request proxy: every call fetches directly from data.nber.org, nothing is bulk-downloaded or stored by this pack.

Series id → folder. Strip the leading letter (m/a/q); the folder is the first two digits of what remains — "m13045" → folder "13", "a01005a" → folder "01". Verified across categories 01, 07, 08, 11, 13, 15, 16 (2026-09-23). There is no folder 00 or above 16.

data.nber.org 403s any User-Agent containing the literal substring "http", or the substring "bot". Its block page says "Prevent Bots from data downloads." Measured 2026-09-23: "foo/1.0 (+https://x)" → 403, "somebot/1.0" → 403 (on "bot" alone), "foo/1.0 (pipeworx.io)" → 200. Every other pack in this catalog uses a "(+https://pipeworx.io)" User-Agent convention — this one deliberately does not, and cannot, or every request 403s. If you copy this pack's fetch pattern elsewhere against an nber.org/data.nber.org host, keep that in mind.

The per-series .dat file has no missing-data sentinel constant across series — this pack treats any value with abs(value) < 1e-30 as missing, based on the doc header's stated MD=1E-37 convention seen on the series checked so far. If a series' doc header states a different missing-data code, this pack does not read that field — it's a fixed heuristic, not parsed per series.

The .dat files are NOT one row per line uniformly — annual (a-prefix) rows are YEAR VALUE, monthly/quarterly (m/q-prefix) rows are YEAR PERIOD VALUE. This pack tells them apart by counting whitespace-split tokens per line (2 vs 3+), not by trusting the id's prefix letter, since a few ids in the wild (e.g. m13001a) carry a monthly prefix with an annual-shaped suffix.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Nber Macrohistory: common questions

Is Nber Macrohistory MCP server safe?
Mostly: it is graded B (73/100). Read the Nber Macrohistory safety report
How do I install Nber Macrohistory?
It runs remotely at gateway.pipeworx.io. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Nber Macrohistory need an API key?
Yes. The registry entry asks for PIPEWORX_API_KEY.
Is Nber Macrohistory maintained?
The last commit was 39 days ago (2026-09-26). The latest release is v0.2.1.
Is Nber Macrohistory up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of Nber Macrohistory?
Servers from other publishers that do the same job: NicheDB MCP server, CogniCore MCP server and DBHub MCP server.
How does Nber Macrohistory compare with other Databases MCP servers?
safety score 73/100 (higher than 32% of 802 Databases servers); uptime 100% (of our recent checks; the typical remote Databases server answers 100%); response time 456 ms (faster than 23% of 292 Databases servers). Full comparison.

Alternatives to Nber Macrohistory

Same job from other publishers: the closest match first, then the best rated.

  • NicheDB
    Sources in, feeds out: an open, ever-growing database of real-time public data, enriched.
    A
  • CogniCore
    Memory, reflection and safety for AI agents. Hosted or local, no vector database.
    A
  • DBHub
    Token-efficient database MCP server for PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, SQLite
    A
  • Neo4j Cypher
    A simple Neo4j MCP server that allows you to run Cypher queries against a Neo4j database.
    A
  • Appwrite
    Build and deploy backends: auth, Postgres/MySQL/vector databases, storage, functions, hosting, CDN
    A

More from pipeworx-io →