Fred MCP Server

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. get_series_as_of and get_revision_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:

1. "What's the unemployment rate right now, and when's the next jobs report?" — get_latest(UNRATE) → 4.3% (May 2026), next release 2026-07-02.
2. "What's the 10-year Treasury yield today?" — get_latest(DGS10) → 4.53% (it correctly skips the . rows daily series publish on holidays).
3. "How has inflation trended over the past year?" — get_observations(CPIAUCSL, transform=pct_change_yoy) → 2.4% → 3.3% → 3.8% → 4.2% over Feb–May 2026.
4. "Find me data on median household income." — search_series → MEHOINUSA672N (real) and MEHOINUSA646N (nominal), annual.
5. "Is the labor market loosening? Compare unemployment and job openings since 2024." — compare_series([UNRATE, JTSJOL]) → one aligned table.
6. "What economic data comes out this week?" — get_release_calendar(7) → 241 release dates, CPI included.
7. "What was real GDP growth each quarter of 2025?" — get_observations(A191RL1Q225SBEA) → −0.6, +3.8, +4.4, +0.5%.
8. "Give me CPI as annual averages for the 2020s." — get_observations(CPIAUCSL, frequency=annual) → one row per year.

Questions only the vintage tools can answer:

1. "How bad did Q4-2008 GDP look to policymakers in early 2009, versus what we know now?" — get_series_as_of(GDPC1, "2009-02-15") → a −3.8% annualized decline as known then (in chained-2000 dollars — the metadata is vintage-pinned too) versus −8.5% in today's data. Policy ran on the first number.
2. "Was the May 2020 COVID unemployment rate ever revised?" — get_revision_history(UNRATE, "2020-05-01") → first published as 13.3 (2020-06-05), currently 13.2, with each revision dated.
3. "What mortgage rate did the Fed see going into the March 2022 liftoff meeting?" — get_series_as_of(MORTGAGE30US, "2022-03-16") → 3.85% as known then; 6.48% today.
4. "How often does GDP actually get revised?" — get_vintage_dates(GDPC1) → 415 vintages since 1991-12-04.

Install

You need a free FRED API key (takes seconds): https://fred.stlouisfed.org/docs/api/api_key_request.html. Keys are personal under the FRED terms — bring your own.

uvx (any MCP client)

{
  "mcpServers": {
    "fred": {
      "command": "uvx",
      "args": ["mcpwright-fred"],
      "env": { "FRED_API_KEY": "your-key-here" }
    }
  }
}

Claude Code

claude mcp add fred -e FRED_API_KEY=your-key-here -- uvx mcpwright-fred

Claude Desktop

Use the one-click .mcpb extension from the latest release (it prompts for your API key), or add the uvx JSON above to your claude_desktop_config.json.

OpenAI Agents SDK / other clients

Any MCP-capable client works — point it at uvx mcpwright-fred over stdio with FRED_API_KEY in the environment.

Notes

• Revisions: current values often differ from what was originally published; for "what was known at the time", use the vintage tools.
• Copyrighted series: some FRED series are owned by third parties; their notes carry the owner's terms (surfaced verbatim, flagged via copyrighted). You are responsible for complying with them beyond personal use.
• Caching & rate limits: responses are cached in-memory (vintage reads long, live reads short) and requests are throttled well under FRED's rate limit. Set FRED_MCP_CACHE=0 to disable caching, FRED_MCP_USER_AGENT to identify your own deployment.

Develop

git clone https://github.com/mcpwright/fred-mcp && cd fred-mcp
uv sync
uv run pytest                                  # tests
uv run mypy                                    # types
uv run ruff check src/ && uv run ruff format --check src/   # lint + format
uv run pre-commit run --all-files              # everything, like CI

Dev loop: feature branch → PR → Code Quality & Tests green → squash-merge.

Roadmap

• v1 tool surface (9 tools incl. the ALFRED vintage lane)
• Publish to PyPI (mcpwright-fred) + the MCP Registry
• Site page at mcpwright.com/fred
• .mcpb one-click Claude Desktop extension (v0.1.0 release)
• GeoFRED / maps (pairs with census-mcp)

Questions & feedback

Discussions for questions and ideas · Issues for bugs.

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Part of mcpwright — polished MCP servers for authoritative public data · built by Devender Gollapally. FRED® and ALFRED® are registered trademarks of the Federal Reserve Bank of St. Louis. This project is not affiliated with, endorsed, or certified by the Federal Reserve Bank of St. Louis.