Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Macroeconomic and FX time-series data for AI agents: indicators, calendars, COT, forex, commodities.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Works in Claude on the web, desktop and mobile:
https://fxmacrodata.com/mcpRun this in your terminal
claude mcp add --transport http fxmacrodata https://fxmacrodata.com/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"fxmacrodata": {
"url": "https://fxmacrodata.com/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"fxmacrodata": {
"type": "http",
"url": "https://fxmacrodata.com/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://fxmacrodata.com/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account fxmacrodata, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 7 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Spec Driven Development, Remote Desktop Commander, Symantec Cloud DLP AIops
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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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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.
Use synchronous and asynchronous clients to bring the data into research notebooks, backtests and applications.
Subscribe to FXMacroData for non-USD data, full available history, FX, commodities and positioning. Use the public USD workflow to evaluate the integration before connecting your subscription.
get_fx_price.requests and aiohttp.Install from PyPI:
pip install fxmacrodata
Or install the latest version from GitHub:
pip install git+https://github.com/fxmacrodata/fxmacrodata.git
from fxmacrodata import Client
client = Client(api_key="YOUR_API_KEY")
data = client.get_indicator( "aud", "policy_rate", start_date="2023-01-01", end_date="2023-11-01" ) print(data)
fx = client.get_fx_price("usd", "gbp", start_date="2025-01-01") print(fx)
fx = client.get_fx_price("eur", "usd", indicators="sma_20,rsi_14,macd") print(fx)
calendar = client.get_calendar("usd") print(calendar)
catalogue = client.get_data_catalogue("usd") print(catalogue)
cot = client.get_cot("eur", start_date="2025-01-01") print(cot)
gold = client.get_commodities("gold", start_date="2026-01-01") print(gold)
import asyncio
from fxmacrodata import AsyncClient
async def main(): async with AsyncClient(api_key="YOUR_API_KEY") as client:
data = await client.get_indicator("eur", "inflation") print(data)
fx = await client.get_fx_price("usd", "jpy") print(fx)
calendar = await client.get_calendar("usd") print(calendar)
catalogue = await client.get_data_catalogue("usd") print(catalogue)
cot = await client.get_cot("jpy") print(cot)
gold = await client.get_commodities("gold") print(gold)
asyncio.run(main())
Every request has a 30-second timeout by default. Change it per client:
Client(api_key="YOUR_API_KEY", timeout=60) # seconds
Client(api_key="YOUR_API_KEY", timeout=(3.05, 120)) # (connect, read) AsyncClient(api_key="YOUR_API_KEY", timeout=60) # total seconds
All errors are FXMacroDataError or one of its subclasses:
| Exception | Raised when |
|---|---|
FXMacroDataAPIError | The API returns a non-200 status (.status_code is set). |
FXMacroDataResponseError | The API returns 200 but the body is an error message or not a JSON object. |
FXMacroDataTimeoutError | The request exceeds the timeout. |
FXMacroDataTransportError | The connection fails (DNS, TLS, network). |
FXMacroDataRedirectError | A redirect would send your API key to a different origin, so it is refused. |
Your API key is never included in error messages, and it is only sent over HTTPS to the origin you configured: redirects to another host or to plain HTTP are refused rather than followed with the key attached.
FXMacroData supports all practical OpenBB integration paths from this package:
obb.fxmacrodata.*./api/v1/fxmacrodata/* routes through openbb-api.openbb-api from inline metadata.widgets.json, apps.json, and data endpoints.openbb-mcp.openbb-build.OpenBB packages require Python 3.10+. Install the OpenBB Python extra:
pip install "fxmacrodata[openbb]"
openbb-build
Then use FXMacroData from the OpenBB Python interface:
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:
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:
pip install "fxmacrodata[workspace]"
fxmacrodata-openbb-backend
Default backend URL:
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:
pip install "fxmacrodata[mcp]"
openbb-build fxmacrodata-openbb-mcp --default-categories fxmacrodata --host 127.0.0.1 --port 8001
Run OpenBB CLI:
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.
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.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 — "sma_20", "sma_50", "sma_200", "rsi_14", "macd", "ema_12", "ema_26", "bollinger_bands", or "all".get_calendar(currency, indicator=None)Fetches upcoming economic data release dates for a currency.
indicator: Optional filter to a specific indicator slug.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.
name, unit, frequency, and has_official_forecast.get_cot(currency, start_date=None, end_date=None)Fetches CFTC Commitment of Traders (COT) positioning data.
AUD, CAD, CHF, EUR, GBP, JPY, NZD, USD.get_commodities(indicator, start_date=None, end_date=None)Fetches commodity price time series.
indicator: "gold", "silver", or "platinum".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.
| Category | Metric | USD | EUR | AUD | GBP |
|---|---|---|---|---|---|
| Economy | GDP Growth | ✓ | ✓ | ✓ | ✓ |
| Inflation Rate | ✓ | ✓ | ✓ | ✓ | |
| Trade Balance | ✓ | ✓ | ✓ | ✓ | |
| Current Account Balance | ✓ | ✓ | ✓ | ✓ | |
| Retail Sales | ✓ | ✓ | ✓ | ✓ | |
| Industrial Production | ✓ | — | — | — | |
| Labor Market | Unemployment Rate | ✓ | ✓ | ✓ | ✓ |
| Employment Level | ✓ | ✓ | ✓ | ✓ | |
| Full-Time Employment | ✓ | ✓ | ✓ | — | |
| Part-Time Employment | ✓ | ✓ | ✓ | ✓ | |
| Participation Rate | ✓ | ✓ | ✓ | ✓ | |
| Non-Farm Payrolls | ✓ | — | — | — | |
| Monetary Policy | Policy Rate | ✓ | ✓ | ✓ | ✓ |
| Risk-Free Rate | ✓ | ✓ | ✓ | ✓ | |
| Central Bank Assets | ✓ | — | ✓ | — | |
| Government Bond Yields | 2-Year Govt Bond | ✓ | ✓ | ✓ | ✓ |
| 5-Year Govt Bond | ✓ | ✓ | ✓ | ✓ | |
| 10-Year Govt Bond | ✓ | ✓ | ✓ | ✓ | |
| Inflation-Linked Bond | ✓ | ✓ | ✓ | ✓ |
MIT License © FXMacroData