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FRED (economic data) MCP server

by mcpwright·io.github.mcpwright/fred-mcp·v0.1.1

FRED economic time series + ALFRED vintages: data as originally published, before revisions.

A86/100grade A
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FRED (economic data) tools (9)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • compare_series

    Align 2-5 series on one date axis for comparison.

  • get_latest

    The most recent value of a series, plus its next scheduled release.

  • get_observations

    A series' values in a date window, optionally transformed/downsampled.

  • get_release_calendar

    Upcoming data-release dates ("when is the next jobs report / CPI?").

  • get_revision_history

    One data point's life across revisions: earliest archived print -> today.

  • get_series

    Full metadata for one series: units, frequency, range, and notes.

  • get_series_as_of

    A series EXACTLY as it was known on a past date — before later revisions.

  • get_vintage_dates

    When a series' data was released or revised (its ALFRED vintages).

  • search_series

    Find FRED series by free-text search, best matches first.

Public scan report

scanner v0.1.10 · 2026-11-02 · same rubric, same numbers if you re-run it

no findings
  • Code scan6 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 73 days ago12/15
  • Maintainer identityregistry namespace matches repository owner7/10
Overall 86/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How FRED (economic data) compares

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

Safety score
86/100
higher than 72% of 48,255 servers
Tools
9
the typical server has 7
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Downloads a week
34
more than 23% of 12,191 servers with a package

What its tools let an agent do: 9 read

Install FRED (economic data) in Claude Code, Cursor or VS Code

claude mcp add fred-mcp -- uvx mcpwright-fred
Add to Cursor

What the publisher says

From the FRED (economic data) repository's README, as published. We do not edit it. Read it on GitHub

fred-mcp

<!-- mcp-name: io.github.mcpwright/fred-mcp -->

FRED® economic data inside your AI agent — including what the numbers said before the revisions. An MCP server for the Federal Reserve Bank of St. Louis's FRED® API: search and read 800,000+ U.S. and international time series, follow the release calendar, and — the distinctive part — query ALFRED® vintage data: any series exactly as it was known on a past date, and any single data point's full revision history from its initial print to today's value.

Read-only, built on public endpoints, powered by your own free FRED API key. Live API calls with a volatility-aware cache (vintage reads are immutable and cache long; current data stays fresh) — no bulk mirroring.

This product uses the FRED® API but is not endorsed or certified by the

Federal Reserve Bank of St. Louis. By using this server you agree to the

FRED® API Terms of Use.

Status: v0.1.0 — live on PyPI (uvx mcpwright-fred) and the official MCP Registry (io.github.mcpwright/fred-mcp). 9 tools, CI-gated, built on mcpwright-core.

Why vintage data matters

Economic numbers get revised — sometimes dramatically. The advance estimate of Q4-2008 real GDP told policymakers the economy was shrinking far more slowly than the number that stands today. If an agent reasons about what decision-makers knew at the time using current data, it is quietly wrong. getseriesasof and getrevision_history make as-published data a first-class question.

Tools

All tools are read-only and annotated as such.

What can you ask?

Every question below was run live against the real FRED API through these tools (answers as of June 2026 — ask again and they'll be current).

Everyday questions:

report?" — getlatest(UNRATE) → 4.3% (May 2026), next release 2026-07-02.

  1. *"What's the unemployment rate right now, and when's the next jobs

(it correctly skips the . rows daily series publish on holidays).

  1. "What's the 10-year Treasury yield today?" — get_latest(DGS10) → 4.53%

getobservations(CPIAUCSL, transform=pctchange_yoy) → 2.4% → 3.3% → 3.8% → 4.2% over Feb–May 2026.

  1. "How has inflation trended over the past year?" —

MEHOINUSA672N (real) and MEHOINUSA646N (nominal), annual.

  1. "Find me data on median household income." — search_series →

since 2024." — compareseries([UNRATE, JTSJOL]) → one aligned table.

  1. *"Is the labor market loosening? Compare unemployment and job openings

241 release dates, CPI included.

  1. "What economic data comes out this week?" — getreleasecalendar(7) →

get_observations(A191RL1Q225SBEA) → −0.6, +3.8, +4.4, +0.5%.

  1. "What was real GDP growth each quarter of 2025?" —

get_observations(CPIAUCSL, frequency=annual) → one row per year.

  1. "Give me CPI as annual averages for the 2020s." —

Questions only the vintage tools can answer:

Shortened. The full README is on GitHub.

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

FRED (economic data): common questions

Is FRED (economic data) MCP server safe?
Yes, by our scan: it is graded A (86/100). Read the FRED (economic data) safety report
How do I install FRED (economic data)?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does FRED (economic data) need an API key?
No secret keys are declared. It reads 2 settings from the environment.
Is FRED (economic data) maintained?
The last commit was 76 days ago (2026-08-20). The latest release is v0.1.1.
How does FRED (economic data) compare with other MCP servers?
safety score 86/100 (higher than 72% of 48,255 servers); tools 9 (the typical server has 7); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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