By the end of this guide your Continue.dev extension will have live access to macroeconomic indicator series, release calendars, CFTC COT positioning, precious-metals prices, and FX spot rates across 18 currencies — all queryable in plain English from inside VS Code without leaving your editor.
What you will achieve
- Ask macro questions in Agent chat — “What is the latest EUR CPI print?”, “When is the next Fed decision?”, “Show me COT positioning for JPY”
- Pull live indicator data into notebooks and scripts — Continue fetches the series, you stay in the coding flow
- Two connection paths — a zero-install hosted MCP endpoint and a local
Python package via
uvx
Prerequisites
- VS Code with the Continue extension installed (v0.9+ recommended for full MCP support)
- A FXMacroData API key for non-USD data — sign up at fxmacrodata.com/subscribe (USD data is free, no key needed for testing)
- Network access from your machine to
fxmacrodata.com -
Optional (local path only):
uvinstalled — runpip install uvor see docs.astral.sh/uv
Why macro data inside your coding assistant matters
Building an FX strategy or macro model in VS Code usually means switching to a browser, pulling data from a calendar site, copying numbers into a notebook, and then switching back. With FXMacroData wired into Continue as an MCP server, all of that disappears. You ask a question in the Agent panel, the tool call happens in the background, and the result lands in your conversation — ready to be inserted into your code or interpreted further.
This is especially useful when preparing strategy research: one prompt can fetch the policy-rate history for two currencies, pull the corresponding spot-rate series, and scaffold a correlation analysis — without you writing a single HTTP call.
Path A — Connect via MCP Recommended
Model Context Protocol (MCP) is the native way to add external tools to Continue. One config block and Continue auto-discovers every tool the FXMacroData server exposes — no schema definitions, no HTTP boilerplate.
Step 1 — Create the MCP server config file
Continue discovers MCP servers from YAML (or JSON) files placed in a
.continue/mcpServers/ folder at the root of your workspace.
Create that folder if it does not exist, then add a file called
fxmacrodata.yaml:
mkdir -p .continue/mcpServers
Option A — Hosted endpoint (zero install, simplest)
name: FXMacroData MCP
version: 0.0.1
schema: v1
mcpServers:
- name: FXMacroData
type: streamable-http
url: https://fxmacrodata.com/mcp
This points Continue at the production FXMacroData MCP server using the Streamable HTTP
transport. USD data and the ping tool work immediately with no API key.
For non-USD currencies, append your API key:
name: FXMacroData MCP
version: 0.0.1
schema: v1
mcpServers:
- name: FXMacroData
type: streamable-http
url: https://fxmacrodata.com/mcp?api_key=YOUR_API_KEY
Option B — Local MCP server via uvx
Use this if you prefer a local process or if your network restricts outbound HTTP streaming.
The uvx runner downloads and executes the
mcp-server-fxmacrodata
PyPI package automatically.
name: FXMacroData MCP
version: 0.0.1
schema: v1
mcpServers:
- name: FXMacroData
type: stdio
command: uvx
args:
- mcp-server-fxmacrodata
env:
FXMACRODATA_API_KEY: YOUR_API_KEY
.continue/ to your .gitignore, or reference a
shell environment variable: replace YOUR_API_KEY with
${FXMACRODATA_API_KEY} and export the variable in your shell profile.
Step 2 — Reload Continue
After saving the YAML file, reload the Continue extension so it picks up the new server. Open the VS Code Command Palette (Ctrl+Shift+P / Cmd+Shift+P) and run:
Continue: Reload MCP servers
Or simply close and reopen VS Code. Continue will scan
.continue/mcpServers/ and register any YAML or JSON files it finds.
Step 3 — Switch to Agent mode and verify the connection
Open the Continue side panel, switch the mode selector to Agent, and type:
Run the FXMacroData ping tool.
Continue calls the ping tool in the background. A pong response
confirms the server is reachable and your credentials are valid. You are ready to query
live data.
Step 4 — Explore the available tools
Once connected, Continue registers all tools the server exposes. Here is the full set:
| Tool | What it does | Example prompt |
|---|---|---|
| indicator_query | Fetch historical announcement series for any currency + indicator | “What is the latest AUD policy rate?” |
| data_catalogue | List available indicators and currencies | “What indicators are available for NZD?” |
| release_calendar | Upcoming macro releases with scheduled dates | “What USD data is coming out this week?” |
| forex | FX spot rates with optional technical overlays | “What is EUR/USD trading at?” |
| cot_data | CFTC Commitments of Traders positioning | “Show me the latest COT report for JPY.” |
| commodities | Precious-metals prices (gold, silver, platinum) | “What is the current gold price?” |
| market_sessions | Live FX session windows (Sydney, Tokyo, London, New York) | “Which FX sessions are open right now?” |
| indicator_visual_artifact | Generate chart-ready data artifacts for supported clients | “Chart USD inflation over the last 2 years.” |
| ping | Verify the connection is live | “Run the FXMacroData ping tool.” |
Continue resolves which tool to call from your natural-language prompt. You never need to specify a tool name or construct JSON — just ask the question.
Step 5 — Try a real analyst workflow
You are building a carry-trade signal in a Python notebook and want to compare the USD–AUD policy-rate differential with AUD/USD spot movement over the last year. In Agent mode, prompt Continue:
“Fetch the USD and AUD policy rates for the last 12 months, then pull the AUD/USD spot rate for the same window and write Python code to plot the rate differential alongside the exchange rate.”
Continue calls indicator_query twice (once per currency) and forex
once, then writes the plotting code directly in your open file. The equivalent REST calls
that back these tool invocations are:
# USD policy rate
curl "https://fxmacrodata.com/api/v1/announcements/usd/policy_rate?api_key=YOUR_API_KEY"
# AUD policy rate
curl "https://fxmacrodata.com/api/v1/announcements/aud/policy_rate?api_key=YOUR_API_KEY"
# AUD/USD spot rate
curl "https://fxmacrodata.com/api/v1/forex/AUD/USD?api_key=YOUR_API_KEY"
Representative indicator_query response:
{
"currency": "AUD",
"indicator": "policy_rate",
"data": [
{ "date": "2026-04-01", "val": 4.10, "announcement_datetime": 1743483000 },
{ "date": "2026-02-18", "val": 4.10, "announcement_datetime": 1739862600 },
{ "date": "2025-12-10", "val": 4.35, "announcement_datetime": 1733806200 },
{ "date": "2025-11-05", "val": 4.35, "announcement_datetime": 1730793000 }
]
}
With the policy-rate and forex series in hand, Continue can scaffold the full comparison chart without you writing a single HTTP call. The AUD policy rate indicator page and USD policy rate docs show the full indicator schema if you want to extend the analysis.
More things to try in Agent mode
- Show me EUR inflation over the last 6 months
- What macro releases are due this week for GBP?
- What is the COT net position for EUR futures?
- Which FX sessions overlap right now?
Combining tools in one prompt
- Fetch EUR CPI and the next ECB calendar date
- Pull NZD employment + NZD/USD spot and summarise
- Get gold price and COT for JPY in one message
- List indicators for CAD and fetch the latest policy rate
Path B — Direct REST API calls Alternative
If you prefer explicit HTTP calls — for example inside a Jupyter notebook run through
VS Code, or when building a custom @custom-context provider — you can
query FXMacroData directly via REST. All endpoints accept a query-parameter API key.
Fetching indicator data
import requests
BASE = "https://fxmacrodata.com/api/v1"
KEY = "YOUR_API_KEY"
# Latest AUD inflation series
resp = requests.get(
f"{BASE}/announcements/aud/inflation",
params={"api_key": KEY},
timeout=10,
)
data = resp.json()
for row in data["data"][:5]:
print(row["date"], row["val"])
Checking the release calendar
# Upcoming USD releases
resp = requests.get(
f"{BASE}/calendar/usd",
params={"api_key": KEY},
timeout=10,
)
events = resp.json()
for event in events["data"][:3]:
print(event["indicator"], event["release_date"])
Pulling FX spot rates
# EUR/USD last 30 trading days
resp = requests.get(
f"{BASE}/forex/EUR/USD",
params={"api_key": KEY},
timeout=10,
)
rates = resp.json()["data"]
print(rates[0]) # {"date": "2026-04-15", "rate": 1.1342}
A full list of available currencies and indicators is at /api-data-docs. Each indicator page includes the exact endpoint path, field descriptions, and example responses — for example EUR inflation or USD non-farm payrolls.
Summary
You have wired FXMacroData into Continue.dev in two steps: created a YAML config file
in .continue/mcpServers/ pointing at the FXMacroData MCP server, and
confirmed the connection with a ping call in Agent mode. From here, every
macro question you type in the Continue Agent panel triggers a live data call —
no browser tab-switching, no manual data imports.
1. Create
.continue/mcpServers/fxmacrodata.yaml with the hosted or local config.2. Reload Continue (Ctrl+Shift+P → Continue: Reload MCP servers).
3. Switch to Agent mode in the Continue panel.
4. Type “Run the FXMacroData ping tool” to verify the connection.
5. Start asking macro questions — or have Continue pull data directly into your code.
Ready to explore what data is available? Browse the FXMacroData API docs for the full indicator catalogue, or check the MCP server reference for authentication options and advanced tool schemas. If you do not yet have an API key, subscribe to unlock all 18 currencies and the complete indicator set.