
Nber Macrohistory MCP server
online · 100% uptimeNBER Macrohistory Database — the National Bureau of Economic Research's 'Public Use Data Archive'…
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Nber Macrohistory tools
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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
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.
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- CogniCoreMemory, reflection and safety for AI agents. Hosted or local, no vector database.5.0(1)GrowingA
- DBHubToken-efficient database MCP server for PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, SQLitenot reviewedWidely usedA
- Neo4j CypherA simple Neo4j MCP server that allows you to run Cypher queries against a Neo4j database.not reviewedEstablishedA
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