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FXMacroData logo. FXMacroData MCP server connector.

FXMacroData MCP Server

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

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✓Enterprise-grade security
✓SSO & authentication ready
✓Full governance & audit logs

What is the FXMacroData MCP Server?

The FXMacroData MCP server gives AI agents structured, permission-aware access to FXMacroData through the Model Context Protocol. With 30 pre-built actions, agents can read, create, and update FXMacroData data on behalf of authorized users.

Willow ships the FXMacroData MCP server as part of an enterprise control plane. Every call runs behind SSO (Okta, Azure AD), enforces RBAC and least-privilege at runtime, writes to a full audit trail, and integrates with Splunk and Loki for SIEM visibility. Connect from Claude Desktop, Claude Code, Cursor, ChatGPT, VS Code, n8n, or any custom agent. Install once, distribute org-wide, and see exactly how FXMacroData is being used by every AI agent in your stack.

Tools

ping

Quick health check that confirms the FXMacroData API and MCP server are reachable. Use this only if other tools fail unexpectedly — it is not needed before normal calls.

subscribe_for_mcp_access

Open subscription options when a user needs to unlock MCP app visuals, charts, and advanced analytical tools. Returns a direct checkout path.

data_catalogue

List every macroeconomic indicator FXMacroData publishes for a currency, with units and frequency. ALWAYS call this first when the user asks about a country's macro data — it returns the exact `indicator` slug strings to pass to indicator_query, release_calendar, and indicator_visual_artifact. Cheap, cacheable, and safe to call on every new conversation. Supported currencies (lowercase 3-letter codes): AED, AUD, BRL, CAD, CHF, DKK, EUR, GBP, IDR, ILS, JPY, MXN, NZD, PEN, PLN, SEK, THB, TWD, USD.

release_calendar

Get upcoming scheduled macroeconomic release timestamps for a currency. Use this when the user asks 'when is the next CPI/GDP/payrolls/policy decision', or to plan a trade around a known release. Returns ISO-8601 announcement_datetime values in UTC; each row has a `release` string with the indicator name and a `currency` code. Pass an optional `indicator` filter to narrow to a single series. Supported currencies: AED, ARS, AUD, BOB, BRL, CAD, CHF, CLP, CNH, CNY, COMM, COP, CZK, DKK, DZD, EGP, EUR, GBP, HKD, HUF, IDR, ILS, INR, JPY, KRW, MAD, MXN, MYR, NGN, NOK, NZD, PEN, PHP, PKR, PLN, RUB, SAR, SEK, SGD, THB, TRY, TWD, USD, UYU, VND, ZAR. Supported indicators: average_hourly_earnings, balance_on_goods, balance_on_services, boc_business_outlook, breakeven_inflation_rate, broad_money, building_approvals, building_permits, business_confidence, cb_assets, cb_reserves_domestic_currency, cb_reserves_foreign_currency, cb_reserves_gold, commodity_price_energy, commodity_price_ex_energy, commodity_price_index, commodity_prices, consumer_confidence, consumer_expectations, core_inflation, core_inflation_median, core_inflation_mom, core_inflation_trim, core_pce, credit_growth, current_account_balance, deposit_rates, domestic_credit, durable_goods_orders, employment, exports, foreign_reserves, full_time_employment, fx_reserves, gdp, gdp_quarterly, gold_reserves, gov_bond_10y, gov_bond_1y, gov_bond_20y, gov_bond_2y, gov_bond_30y, gov_bond_3y, gov_bond_40y, gov_bond_4y, gov_bond_5y, gov_bond_7y, government_debt, house_price_index, house_prices, household_credit, housing_starts, imports, industrial_production, inflation, inflation_expectations, inflation_linked_bond, inflation_mom, initial_jobless_claims, job_openings, kof_barometer, m1, m2, m3, money_supply_currency, money_supply_savings_deposits, money_supply_term_deposits, money_supply_transaction_deposits, monthly_cpi, mortgage_rate, nairu, nmi, non_farm_payrolls, part_time_employment, participation_rate, pce, pce_mom, pmi, policy_rate, policy_rate_mlf, policy_rate_mro, policy_rate_target_lower, ppi, ppi_mom, private_sector_credit, real_exchange_rate, retail_sales, risk_free_rate, sight_deposits, snb_balance_sheet, tankan_capex, terms_of_trade, trade_balance, trade_weighted_index, trimmed_mean_inflation, unemployment, wage_price_index, wages.

forex

Get raw historical FX spot-rate rows for a currency pair (e.g. EUR/USD, USD/JPY). Prefer this tool when the user explicitly wants a plain-text table, raw rows, exact values, JSON-like data, or technical-indicator series (SMA, EMA, RSI, MACD, Bollinger Bands, etc.) computed from spot without a chart. If the user asks more generally to show/tell/explain the last few weeks or months of a pair, prefer forex_visual_artifact instead so the client can render a chart. Daily granularity from official central-bank reference rates with full multi-year history. Supported currencies (use lowercase 3-letter codes): AED, AUD, BRL, CAD, CHF, DKK, EUR, GBP, IDR, ILS, JPY, MXN, NZD, PEN, PLN, SEK, THB, TWD, USD. Optional `indicators` parameter accepts a comma-separated list of technical indicator slugs to attach to each row. Supported indicator values: bollinger_bands, ema_12, ema_26, macd, rsi_14, sma_20, sma_200, sma_50, all.

indicator_query

Get the full historical time series of a single macroeconomic indicator for a currency, sourced directly from the official central bank or statistical agency. Use this for CPI/inflation, GDP, unemployment, policy rates, bond yields, payrolls, retail sales, PCE, PPI, trade balance, current account, money supply, and similar series. Each row returns `date` (value-as-of), `val` (numeric), and `announcement_datetime` (when the value was first published — useful for backtest point-in-time integrity). Successful responses are chart-ready by default for MCP Apps hosts while preserving the full raw result envelope for data workflows. Always call data_catalogue(currency) first to get the exact indicator slug. USD indicators are free; non-USD requires API key. Supported currencies: AED, AUD, BRL, CAD, CHF, DKK, EUR, GBP, IDR, ILS, JPY, MXN, NZD, PEN, PLN, SEK, THB, TWD, USD. Supported indicators: average_hourly_earnings, balance_on_goods, balance_on_services, boc_business_outlook, breakeven_inflation_rate, broad_money, building_approvals, building_permits, business_confidence, cb_assets, cb_reserves_domestic_currency, cb_reserves_foreign_currency, cb_reserves_gold, commodity_price_energy, commodity_price_ex_energy, commodity_price_index, commodity_prices, consumer_confidence, consumer_expectations, core_inflation, core_inflation_median, core_inflation_mom, core_inflation_trim, core_pce, credit_growth, current_account_balance, deposit_rates, domestic_credit, durable_goods_orders, employment, exports, foreign_reserves, full_time_employment, fx_reserves, gdp, gdp_quarterly, gold_reserves, gov_bond_10y, gov_bond_1y, gov_bond_20y, gov_bond_2y, gov_bond_30y, gov_bond_3y, gov_bond_40y, gov_bond_4y, gov_bond_5y, gov_bond_7y, government_debt, house_price_index, house_prices, household_credit, housing_starts, imports, industrial_production, inflation, inflation_expectations, inflation_linked_bond, inflation_mom, initial_jobless_claims, job_openings, kof_barometer, m1, m2, m3, money_supply_currency, money_supply_savings_deposits, money_supply_term_deposits, money_supply_transaction_deposits, monthly_cpi, mortgage_rate, nairu, nmi, non_farm_payrolls, part_time_employment, participation_rate, pce, pce_mom, pmi, policy_rate, policy_rate_mlf, policy_rate_mro, policy_rate_target_lower, ppi, ppi_mom, private_sector_credit, real_exchange_rate, retail_sales, risk_free_rate, sight_deposits, snb_balance_sheet, tankan_capex, terms_of_trade, trade_balance, trade_weighted_index, trimmed_mean_inflation, unemployment, wage_price_index, wages.

indicator_visual_artifact

Same payload as indicator_query, but also returns MCP Apps metadata so compatible clients (Claude Desktop, ChatGPT, Codex, etc.) render an interactive line chart instead of a JSON dump. Prefer this by default for indicator time-series requests, especially when the user asks to show, tell, explain, compare, inspect a trend, or review a recent window. Only fall back to indicator_query when the user explicitly wants a raw table, plain text list, JSON, exact rows, or minimal structured data. Supported currencies: AED, AUD, BRL, CAD, CHF, DKK, EUR, GBP, IDR, ILS, JPY, MXN, NZD, PEN, PLN, SEK, THB, TWD, USD. Supported indicators: average_hourly_earnings, balance_on_goods, balance_on_services, boc_business_outlook, breakeven_inflation_rate, broad_money, building_approvals, building_permits, business_confidence, cb_assets, cb_reserves_domestic_currency, cb_reserves_foreign_currency, cb_reserves_gold, commodity_price_energy, commodity_price_ex_energy, commodity_price_index, commodity_prices, consumer_confidence, consumer_expectations, core_inflation, core_inflation_median, core_inflation_mom, core_inflation_trim, core_pce, credit_growth, current_account_balance, deposit_rates, domestic_credit, durable_goods_orders, employment, exports, foreign_reserves, full_time_employment, fx_reserves, gdp, gdp_quarterly, gold_reserves, gov_bond_10y, gov_bond_1y, gov_bond_20y, gov_bond_2y, gov_bond_30y, gov_bond_3y, gov_bond_40y, gov_bond_4y, gov_bond_5y, gov_bond_7y, government_debt, house_price_index, house_prices, household_credit, housing_starts, imports, industrial_production, inflation, inflation_expectations, inflation_linked_bond, inflation_mom, initial_jobless_claims, job_openings, kof_barometer, m1, m2, m3, money_supply_currency, money_supply_savings_deposits, money_supply_term_deposits, money_supply_transaction_deposits, monthly_cpi, mortgage_rate, nairu, nmi, non_farm_payrolls, part_time_employment, participation_rate, pce, pce_mom, pmi, policy_rate, policy_rate_mlf, policy_rate_mro, policy_rate_target_lower, ppi, ppi_mom, private_sector_credit, real_exchange_rate, retail_sales, risk_free_rate, sight_deposits, snb_balance_sheet, tankan_capex, terms_of_trade, trade_balance, trade_weighted_index, trimmed_mean_inflation, unemployment, wage_price_index, wages.

forex_visual_artifact

Same payload as forex, but packaged with MCP Apps chart metadata so compatible clients render an interactive spot-rate chart inline. Prefer this by default for FX pair time-series requests, especially for prompts like 'show me AUD/USD', 'tell me the last 30 days', 'how has EUR/USD moved recently', or any request where a trend view is more useful than raw rows. Only prefer plain forex when the user explicitly asks for a table, raw values, JSON, CSV-style output, or exact row-by-row data.

commodities_visual_artifact

Same payload as commodities, but packaged with MCP Apps chart metadata so compatible clients render an interactive commodity chart inline.

cot_visual_artifact

Same payload as cot_data, but with MCP Apps chart metadata. By default it charts noncommercial net positioning; pass `metric` to chart another COT field.

policy_rate_differential_visual_artifact

Build a two-series chart comparing base and quote policy-rate history to visualize the rate differential setup for an FX pair.

macro_briefing_task

Build a compact macro briefing for a currency by combining catalogue, policy rate, GDP, and release-calendar data. Supports MCP Tasks for async execution when clients send a task-augmented request.

indicator_intel_task

Build an intelligence pack for one indicator by combining chart-ready series data, derived analytics, and nearest release timing context. Supports MCP Tasks for async execution when clients send task-augmented requests.

pair_intel_task

Build an intelligence pack for an FX pair by combining policy-rate spread context, spot-rate context, and release-timing metadata. Supports MCP Tasks for async execution when clients send task-augmented requests.

macro_heatmap_task

Build a cross-currency macro heatmap from indicator time series and return a matrix with latest values, recent changes, and z-scores. Supports MCP Tasks for async execution when clients send task-augmented requests.

policy_scenario_modeler_task

Run a policy-rate spread what-if scenario for an FX pair and estimate directional spot impact using an explicit heuristic elasticity assumption. Supports MCP Tasks for async execution when clients send task-augmented requests.

macro_war_room_task

Build a multi-panel macro market cockpit that combines FX sessions, upcoming release queue, pair context, and generated risk alerts. Supports MCP Tasks for async execution when clients send task-augmented requests.

event_impact_replay_task

Create a point-in-time replay timeline mapping macro announcements to FX context and heuristic impact markers. Supports MCP Tasks for async execution when clients send task-augmented requests.

quant_scenario_lab_task

Run an expanded quant-style policy scenario for an FX pair with deterministic projection, stress percentiles, and horizon assumptions. Supports MCP Tasks for async execution when clients send task-augmented requests.

known_at_time_task

Return the slice of a macro series that would have been known at a specific timestamp, using announcement_datetime as the point-in-time integrity boundary. Supports MCP Tasks for async execution when clients send task-augmented requests.

macro_regime_classifier_task

Classify a currency's macro regime using policy rate, inflation, GDP, and unemployment context, with explicit assumptions and confidence notes. Supports MCP Tasks for async execution when clients send task-augmented requests.

release_risk_score_task

Score upcoming releases for a currency pair using release-calendar proximity and indicator-level heuristics. Supports MCP Tasks for async execution when clients send task-augmented requests.

portfolio_risk_engine_task

Analyze a multi-position FX book for concentration, stress exposure, and event-driven catalyst risk. Supports MCP Tasks for async execution when clients send task-augmented requests.

fx_trade_setup_task

Build a trader-oriented FX pair setup using spot context, macro differentials, upcoming catalyst risk, and optional COT positioning. Supports MCP Tasks for async execution when clients send task-augmented requests.

fx_backtest_task

Run a transparent rule-based FX backtest on historical spot data using carry and/or momentum signals. Supports MCP Tasks for async execution when clients send task-augmented requests.

macro_research_pack_task

Bundle catalogue, indicator history, next release timing, and optional FX pair context into one persistent-host-friendly research payload. Supports MCP Tasks for async execution when clients send task-augmented requests.

market_sessions

Tell the user which FX trading sessions are currently open (Sydney, Tokyo, London, New York) and when the next session opens/closes. Use this when the user asks 'is the market open?', 'when does London open?', or 'which sessions overlap right now?'. Pass an ISO-8601 UTC timestamp via `at` to get the snapshot for a specific moment instead of now. Accounts for weekends and major banking holidays.

cot_data

Get weekly CFTC Commitment of Traders (COT) positioning data for a currency's FX futures contract on the CME. Use this when the user asks about speculator positioning, non-commercial longs vs shorts, hedge-fund FX positioning, or wants to gauge sentiment extremes. Returns weekly snapshots with long/short open interest by trader category. Updated every Friday at 15:30 ET reflecting the Tuesday cutoff. Requires an API key. Supported currencies: AUD, CAD, CHF, EUR, GBP, HUF, JPY, MXN, NZD, TRY, USD.

commodities

Get historical price series for commodities and energy (crude oil, natural gas, gold, silver, copper, etc.) — useful for analyzing commodity-currency correlations (CAD vs WTI, AUD vs iron ore, NOK vs Brent). Requires an API key. Supported indicators: gold, platinum, silver.

official_dataset_family

Get metadata-first official dataset payloads grouped by API endpoint type. Use endpoint_type to pick the API taxonomy group and dataset to choose the specific series family. Supported endpoint types: monetary_policy, fiscal_policy, international_trade, statistics_releases. Supported datasets: auction_metrics, bop, capital_flows, cb_liquidity, credit_conditions, external_debt, fx_intervention, iip, services_trade, treasury_cash, wage_settlements.

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Set Up Your FXMacroData MCP Server in Minutes

Add the following configuration to your MCP client. Authentication is handled via OAuth. Compatible with Claude Desktop, Claude Code, Cursor, ChatGPT, VS Code, n8n, and any MCP-compatible agent.

Claude Desktop

claude_desktop_config.json
{
  "mcpServers": {
    "willow-fxmacrodata": {
      "type": "http",
      "url": "https://<org>.mcp-s.com/mcp/mcp/fxmacrodata"
    }
  }
}

Cursor

.cursor/mcp.json
{
  "mcpServers": {
    "willow-fxmacrodata": {
      "type": "http",
      "url": "https://<org>.mcp-s.com/mcp/mcp/fxmacrodata"
    }
  }
}

Claude Code

CLI
claude mcp add willow-fxmacrodata --transport http https://<org>.mcp-s.com/mcp/mcp/fxmacrodata

n8n

HTTP Request Node
{
  "url": "https://<org>.mcp-s.com/mcp/mcp/fxmacrodata",
  "method": "POST"
}

Or click "Install with Willow" above to set up automatically with SSO and RBAC preconfigured.

Enterprise Governance for FXMacroData

Willow adds the layer FXMacroData and every other SaaS doesn't ship out of the box: every call runs behind SSO (Okta, Azure AD), enforces RBAC and least-privilege at runtime, writes to full audit logs, and detects shadow AI usage across your stack. One MCP gateway. Any agent. Every tool.

FXMacroData MCP Server FAQ

What is the FXMacroData MCP server?

The FXMacroData MCP server is a Model Context Protocol implementation that lets AI agents like Claude, Cursor, and ChatGPT read and write FXMacroData data through a standardized interface. Willow hosts and governs this server so enterprises can roll it out without a security review backlog.

How is Willow's FXMacroData MCP server different from the official one?

The official FXMacroData MCP server is scoped to a single user's account and does not include enterprise governance. Willow's version adds SSO, RBAC, audit logging, shadow AI detection, and centralized control over which actions agents can take across the entire org.

Which AI clients work with the FXMacroData MCP server?

Claude Desktop, Claude Code, Cursor, ChatGPT, VS Code with MCP support, n8n, and any custom agent built with OpenAI Agents SDK, LangChain, Vercel AI SDK, or Anthropic SDK.

Is the FXMacroData MCP server secure? How does Willow handle authentication?

Every call runs behind your existing SSO (Okta, Azure AD). Per-user OAuth scopes the agent to exactly what that user can do in FXMacroData, nothing more. No credentials reach the LLM. Every action writes to an audit trail.

Can I limit which FXMacroData actions agents can take?

Yes. Willow lets you scope agents to specific actions, specific projects, or specific environments. Toggle actions on or off in the dashboard, or enforce policy via infrastructure-as-code through GitHub.

How do I detect shadow FXMacroData MCP servers in my org?

Willow's browser extension and discovery service surface unmanaged MCP servers, skills, and AI agents across the org. If a developer installed an unapproved FXMacroData MCP locally, you'll see it.

What does the FXMacroData MCP server cost?

Pricing depends on org size and deployment model (SaaS, dedicated cloud, self-host). See withwillow.ai/pricing or contact sales for a quote.

How do I install the FXMacroData MCP server with Willow?

Install via the Willow Connect Panel in one click, or paste the JSON snippet above into your Claude Desktop, Cursor, or Claude Code config. SSO and RBAC inherit from your existing Willow setup.

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