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  1. Home
  2. πŸ’° Finance & Fintech
  3. FXMacroData
FXMacroData logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 8:06:28 PM

FXMacroData

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository9 GitHub StarsTotal stargazers on GitHub for the source repository (9 stars).Visit Website

Macroeconomic and FX time-series data for AI agents: indicators, calendars, COT, forex, commodities.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "fxmacrodata-2": {
      "command": "uvx",
      "args": [
        "fxmacrodata"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’° More in Finance & Fintech

Documentation Overview

FXMacroData Python SDK πŸπŸ“Š

PyPI Version Python Versions License Build

The FXMacroData Python SDK provides a simple and efficient interface for fetching macroeconomic indicators, forex prices, release calendars, COT positioning, and commodity prices from FXMacroData.

It includes both synchronous and asynchronous clients, and USD macro endpoints work without an API key.


🌟 Features

  • Fetch:
    • Macroeconomic indicators β€” policy rates, inflation, GDP, unemployment, bond yields, and more: 97 distinct indicators across 656 endpoints
    • FX spot rates with optional technical indicators (SMA, RSI, MACD, Bollinger Bands)
    • Release calendars β€” upcoming economic data release dates
    • Data catalogue β€” discover available indicators per currency
    • COT data β€” CFTC Commitment of Traders positioning
    • Commodity prices β€” gold, silver, platinum
  • Free access to USD macro data, covering the most recent 90 days. An API key lifts the window to full history.
  • FX spot-rate history through get_fx_price.
  • API key required for protected datasets, including non-USD indicators, FX spot-rate history, COT, and commodities.
  • Full support for:
    • Synchronous client
    • Asynchronous client
  • Lightweight: depends only on requests and aiohttp.

πŸ“¦ Installation

Install from PyPI:

Terminal
pip install fxmacrodata

Or install the latest version from GitHub:

Terminal
pip install git+https://github.com/fxmacrodata/fxmacrodata.git

πŸ”§ Usage

Synchronous

server.ts
from fxmacrodata import Client

client = Client(api_key="YOUR_API_KEY")

# Fetch macroeconomic indicators
data = client.get_indicator(
    "aud", "policy_rate",
    start_date="2023-01-01",
    end_date="2023-11-01"
)
print(data)

# Forex price endpoint
fx = client.get_fx_price("usd", "gbp", start_date="2025-01-01")
print(fx)

# Forex with technical indicators
fx = client.get_fx_price("eur", "usd", indicators="sma_20,rsi_14,macd")
print(fx)

# Release calendar
calendar = client.get_calendar("usd")
print(calendar)

# Data catalogue β€” discover available indicators
catalogue = client.get_data_catalogue("usd")
print(catalogue)

# COT positioning data
cot = client.get_cot("eur", start_date="2025-01-01")
print(cot)

# Commodity prices
gold = client.get_commodities("gold", start_date="2026-01-01")
print(gold)

Asynchronous

server.ts
import asyncio
from fxmacrodata import AsyncClient

async def main():
    async with AsyncClient(api_key="YOUR_API_KEY") as client:
        # Fetch macroeconomic indicators
        data = await client.get_indicator("eur", "inflation")
        print(data)

        # Forex price endpoint
        fx = await client.get_fx_price("usd", "jpy")
        print(fx)

        # Release calendar
        calendar = await client.get_calendar("usd")
        print(calendar)

        # Data catalogue
        catalogue = await client.get_data_catalogue("usd")
        print(catalogue)

        # COT positioning
        cot = await client.get_cot("jpy")
        print(cot)

        # Commodity prices
        gold = await client.get_commodities("gold")
        print(gold)

asyncio.run(main())

OpenBB Integration

FXMacroData supports all practical OpenBB integration paths from this package:

  • OpenBB Python: installable provider/router extension for obb.fxmacrodata.*.
  • OpenBB REST API: /api/v1/fxmacrodata/* routes through openbb-api.
  • OpenBB Workspace, generated: widgets generated by openbb-api from inline metadata.
  • OpenBB Workspace, custom: standalone backend serving widgets.json, apps.json, and data endpoints.
  • OpenBB MCP: tools exposed through openbb-mcp.
  • OpenBB CLI: commands available after openbb-build.

OpenBB packages require Python 3.10+. Install the OpenBB Python extra:

Terminal
pip install "fxmacrodata[openbb]"
openbb-build

Then use FXMacroData from the OpenBB Python interface:

server.ts
from openbb import obb

obb.user.credentials.fxmacrodata_api_key = "YOUR_API_KEY"

catalogue = obb.fxmacrodata.data_catalogue(
    currency="USD",
    provider="fxmacrodata",
).to_df()

inflation = obb.fxmacrodata.macro_indicators(
    currency="USD",
    indicator="inflation",
    start_date="2020-01-01",
    provider="fxmacrodata",
).to_df()

eurusd = obb.fxmacrodata.fx_historical(
    base="EUR",
    quote="USD",
    start_date="2024-01-01",
    provider="fxmacrodata",
).to_df()

Run the OpenBB REST API and generated Workspace backend:

Terminal
pip install "fxmacrodata[openbb-api]"
openbb-build
fxmacrodata-openbb-api --host 127.0.0.1 --port 6900

Workspace can be connected to http://127.0.0.1:6900. The generated /widgets.json uses FXMacroData's inline OpenBB widget metadata.

Run the OpenBB Workspace custom backend:

Terminal
pip install "fxmacrodata[workspace]"
fxmacrodata-openbb-backend

Default backend URL:

text
http://127.0.0.1:7779

Workspace exposes /widgets.json, /apps.json, /catalogue, /release_calendar, /macro_indicator, /forex, /cot, and /commodity. Swagger/OpenAPI docs are disabled by default for this backend. For local debugging only, set FXMACRODATA_OPENBB_ENABLE_DOCS=1 before starting it.

Run OpenBB MCP:

Terminal
pip install "fxmacrodata[mcp]"
openbb-build
fxmacrodata-openbb-mcp --default-categories fxmacrodata --host 127.0.0.1 --port 8001

Run OpenBB CLI:

Terminal
pip install "fxmacrodata[openbb-cli]"
openbb-build
openbb

See docs/openbb-integration.md for the full integration matrix and the separate upstream OpenBB repository contribution path.


πŸ“˜ API Overview

get_indicator(currency, indicator, start_date=None, end_date=None)

Fetches macroeconomic indicator time series data.

  • currency: "usd", "aud", "eur", "gbp", "cad", "nok", "nzd", "jpy", "brl", "cny", "dkk", "pln", "sek", "sgd", etc.
  • indicator: "policy_rate", "inflation", "gdp", "unemployment", "trade_balance", "current_account_balance", "gov_bond_10y", etc.
  • API key required for non-USD.

get_fx_price(base, quote, start_date=None, end_date=None, indicators=None)

Fetches daily FX spot rates between two currencies.

  • indicators: Optional comma-separated technical indicators β€” "sma_20", "sma_50", "sma_200", "rsi_14", "macd", "ema_12", "ema_26", "bollinger_bands", or "all".
  • API key required.

get_calendar(currency, indicator=None)

Fetches upcoming economic data release dates for a currency.

  • indicator: Optional filter to a specific indicator slug.
  • Returns announcement_datetime (Unix timestamp) and release (indicator slug).

get_data_catalogue(currency, include_capabilities=False, include_coverage=False, indicator=None)

Discovers available macroeconomic indicators for a given currency.

  • Returns a dict keyed by indicator slug with name, unit, frequency, and has_official_forecast.
  • API key required for non-USD.

get_cot(currency, start_date=None, end_date=None)

Fetches CFTC Commitment of Traders (COT) positioning data.

  • Supported currencies: AUD, CAD, CHF, EUR, GBP, JPY, NZD, USD.
  • API key required for non-USD.

get_commodities(indicator, start_date=None, end_date=None)

Fetches commodity price time series.

  • indicator: "gold", "silver", or "platinum".
  • API key required.

πŸ’Ή Supported Currencies & Indicators

18 currencies supported: AUD, BRL, CAD, CHF, CNH, CNY, DKK, EUR, GBP, ILS, JPY, NGN, NOK, NZD, PEN, SEK, THB, USD.

The table below shows a sample of indicator coverage across four major currencies. Use get_data_catalogue() to discover the full list for any currency.

CategoryMetricUSDEURAUDGBP
EconomyGDP Growthβœ“βœ“βœ“βœ“
Inflation Rateβœ“βœ“βœ“βœ“
Trade Balanceβœ“βœ“βœ“βœ“
Current Account Balanceβœ“βœ“βœ“βœ“
Retail Salesβœ“βœ“βœ“βœ“
Industrial Productionβœ“β€”β€”β€”
Labor MarketUnemployment Rateβœ“βœ“βœ“βœ“
Employment Levelβœ“βœ“βœ“βœ“
Full-Time Employmentβœ“βœ“βœ“β€”
Part-Time Employmentβœ“βœ“βœ“βœ“
Participation Rateβœ“βœ“βœ“βœ“
Non-Farm Payrollsβœ“β€”β€”β€”
Monetary PolicyPolicy Rateβœ“βœ“βœ“βœ“
Risk-Free Rateβœ“βœ“βœ“βœ“
Central Bank Assetsβœ“β€”βœ“β€”
Government Bond Yields2-Year Govt Bondβœ“βœ“βœ“βœ“
5-Year Govt Bondβœ“βœ“βœ“βœ“
10-Year Govt Bondβœ“βœ“βœ“βœ“
Inflation-Linked Bondβœ“βœ“βœ“βœ“

πŸ“„ License

MIT License Β© FXMacroData


🌐 Links

  • Website: https://fxmacrodata.com
  • API Docs: https://fxmacrodata.com/docs
  • GitHub: https://github.com/fxmacrodata/fxmacrodata
  • PyPI: https://pypi.org/project/fxmacrodata/
  • Readthedocs: https://fxmacrodata.readthedocs.io/en/latest/
  • Zenodo: https://zenodo.org/records/18280968

Read the full README β†’View source on GitHub β†’

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Frequently Asked Questions about FXMacroData

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "fxmacrodata": { "command": "npx", "args": ["-y", "FXMacroData"] } }

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Technical Specs & Signals

CategoryπŸ’°Finance & Fintech
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
Last updatedSep 7, 2026
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GitHub stars9
GitHub Star CountTotal stargazers on GitHub representing community popularity (9 stars).
39Quality signal: Fair Β· 39/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity3/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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