mcp server

FXMacroData

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

Description as published by the maintainer. Source

• version 1.0.1
• active

active — Most recent push to the repository was 2026-07-15.

What this server can do

48 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

announcement_changes(limit, since, payload, currencies, indicators)

Poll recently ingested macro announcement changes with a resumable cursor. This is the bounded MCP-safe companion to the release-event stream: use the returned next_cursor as since on a later call instead of holding an unbounded streaming tool invocation open.

commodities(symbol, end_date, indicator, start_date)

Get historical price series for supported commodity indicators using the exact slugs advertised by this schema. Requires an API key. Supported indicators: crude_oil_inventories, gold, natural_gas, natural_gas_storage, oil_brent, oil_wti, platinum, silver.

commodities_visual_artifact(end_date, indicator, start_date)

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

cot_data(currency, end_date, start_date)

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, XAU. Required: currency.

cot_visual_artifact(metric, currency, end_date, start_date)

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. Required: currency.

data_catalogue(currency, indicator, include_coverage, include_capabilities)

List every macroeconomic indicator FXMacroData publishes for a currency, with units, frequency, and coverage/freshness metadata. 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. Check `coverage` before calling indicator_query; stale, partial, or unavailable rows are not suitable for real-time carry or inflation analysis. Supported currencies (lowercase 3-letter codes): AUD, BRL, CAD, CHF, CNH, CNY, DKK, EUR, GBP, ILS, JPY, NGN, NOK, NZD, PEN, SEK, THB, USD. Required: currency.

event_impact_replay_task(base, quote, currency, end_date, indicator, start_date, lookback_events)

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. Required: currency, indicator.

event_predictions(page, limit, offset, currency, end_date, indicator, start_date, prediction_type, prediction_source)

Return stored forecasts, consensus-style predictions, central-bank projections, survey forecasts, IMF forecasts, nowcasts, or FXMacroData blended predictions for macro announcements. Use this with release_calendar and indicator_query when a report needs actual-vs-consensus, prior-vs-forecast, or event-surprise context. Rows are keyed by announcement_id/date/indicator and include prediction source metadata. Supported currencies: AUD, BRL, CAD, CHF, CNH, CNY, DKK, EUR, GBP, ILS, JPY, NGN, NOK, NZD, PEN, SEK, THB, USD. Supported indicators: average_hourly_earnings, average_hourly_earnings_mom, balance_on_goods, balance_on_services, breakeven_inflation_rate, building_approvals, building_permits, business_confidence, capital_account_balance, cb_assets, commodity_price_energy, commodity_price_ex_energy, commodity_price_index, commodity_prices, consumer_confidence, core_inflation, core_inflation_median, core_inflation_mom, core_inflation_trim, core_pce, core_pce_mom, credit_growth, crude_oil_inventories, current_account_balance, dairy_exports, deposit_rates, durable_goods_orders, employment, exports, financial_account_balance, foreign_reserves, full_time_employment, gdp, gdp_growth_q4_yoy, gdp_growth_qoq_saar, 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, household_credit, housing_starts, imports, inflation, inflation_linked_bond, inflation_mom, initial_jobless_claims, international_assets, international_liabilities, job_openings, m1, m2, m3, monthly_cpi, nairu, natural_gas_storage, net_foreign_asset_position, non_farm_payrolls, non_farm_payrolls_change, part_time_employment, participation_rate, pce, pce_mom, policy_rate, policy_rate_midpoint, policy_rate_mlf, policy_rate_mro, policy_rate_target_lower, ppi, ppi_mom, primary_income_balance, retail_sales, retail_sales_control_group, retail_sales_ex_autos, retail_sales_ex_autos_and_gas, risk_free_rate, secondary_income_balance, sight_deposits, terms_of_trade, trade_balance, trade_weighted_index, trimmed_mean_inflation, unemployment, wage_price_index, wages. Required: currency, indicator.

forex(base, quote, end_date, indicators, start_date)

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): AUD, BRL, CAD, CHF, CNH, CNY, DKK, EUR, GBP, ILS, JPY, NGN, NOK, NZD, PEN, SEK, THB, USD. Optional `indicators` parameter accepts a comma-separated list of technical indicator slugs to attach to each row. Supported indicator values: adx_14, atr_14, bollinger_bands, cci_20, donchian_20, ema_12, ema_20, ema_200, ema_26, ema_50, macd, macd_histogram, macd_signal, rsi_14, sma_20, sma_200, sma_50, stochastic_14_3, williams_r_14, all. Required: base, quote.

forex_visual_artifact(base, quote, end_date, indicators, start_date)

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. Required: base, quote.

fx_backtest_task(base, quote, end_date, strategy, start_date, event_gated, initial_capital, event_window_days, momentum_lookback, transaction_cost_bps)

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. Required: base, quote.

fx_intraday_reference_rates(base, quote, end_time, start_time)

Return subscriber intraday official FX reference-rate observations for one pair. Call fx_reference_universe first to verify pair and source availability. Required: base, quote.

fx_reference_sources

List public official FX reference-rate sources and their source policy before requesting a pair-specific intraday reference-rate series.

fx_reference_universe(source, currency)

List the public FX reference-rate pair universe, optionally filtered by currency or source id. Call this before requesting an intraday reference-rate series.

fx_trade_setup_task(base, quote, include_cot, horizon_events)

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. Required: base, quote.

indicator_intel_task(currency, end_date, indicator, start_date)

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. Required: currency, indicator.

indicator_query(page, slug, limit, offset, currency, end_date, indicator, start_date, official_only)

Get a paginated 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). This plain tool returns raw rows for data workflows. Use `indicator_visual_artifact` when the host should render an MCP App chart. Use `limit`, `offset`, or `page` to page through broad histories; check `pagination.next_offset` and `pagination.page_includes_latest_available` in the result. Responses default to official-source rows only; prohibited private aggregator rows are always removed. Always call data_catalogue(currency) first to get the exact indicator slug. USD indicators are free; non-USD requires API key. Supported currencies: AUD, BRL, CAD, CHF, CNH, CNY, DKK, EUR, GBP, ILS, JPY, NGN, NOK, NZD, PEN, SEK, THB, USD. Supported indicators: average_hourly_earnings, average_hourly_earnings_mom, balance_on_goods, balance_on_services, breakeven_inflation_rate, building_approvals, building_permits, business_confidence, capital_account_balance, cb_assets, commodity_price_energy, commodity_price_ex_energy, commodity_price_index, commodity_prices, consumer_confidence, core_inflation, core_inflation_median, core_inflation_mom, core_inflation_trim, core_pce, core_pce_mom, credit_growth, crude_oil_inventories, current_account_balance, dairy_exports, deposit_rates, durable_goods_orders, employment, exports, financial_account_balance, foreign_reserves, full_time_employment, gdp, gdp_growth_q4_yoy, gdp_growth_qoq_saar, 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, household_credit, housing_starts, imports, inflation, inflation_linked_bond, inflation_mom, initial_jobless_claims, international_assets, international_liabilities, job_openings, m1, m2, m3, monthly_cpi, nairu, natural_gas_storage, net_foreign_asset_position, non_farm_payrolls, non_farm_payrolls_change, part_time_employment, participation_rate, pce, pce_mom, policy_rate, policy_rate_midpoint, policy_rate_mlf, policy_rate_mro, policy_rate_target_lower, ppi, ppi_mom, primary_income_balance, retail_sales, retail_sales_control_group, retail_sales_ex_autos, retail_sales_ex_autos_and_gas, risk_free_rate, secondary_income_balance, sight_deposits, terms_of_trade, trade_balance, trade_weighted_index, trimmed_mean_inflation, unemployment, wage_price_index, wages.

indicator_visual_artifact(page, limit, offset, currency, end_date, indicator, start_date)

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. For broad histories, use the existing `limit`, `offset`, or `page` controls and inspect `pagination.next_offset` rather than retrying with arbitrary shorter windows. 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: AUD, BRL, CAD, CHF, CNH, CNY, DKK, EUR, GBP, ILS, JPY, NGN, NOK, NZD, PEN, SEK, THB, USD. Supported indicators: average_hourly_earnings, average_hourly_earnings_mom, balance_on_goods, balance_on_services, breakeven_inflation_rate, building_approvals, building_permits, business_confidence, capital_account_balance, cb_assets, commodity_price_energy, commodity_price_ex_energy, commodity_price_index, commodity_prices, consumer_confidence, core_inflation, core_inflation_median, core_inflation_mom, core_inflation_trim, core_pce, core_pce_mom, credit_growth, crude_oil_inventories, current_account_balance, dairy_exports, deposit_rates, durable_goods_orders, employment, exports, financial_account_balance, foreign_reserves, full_time_employment, gdp, gdp_growth_q4_yoy, gdp_growth_qoq_saar, 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, household_credit, housing_starts, imports, inflation, inflation_linked_bond, inflation_mom, initial_jobless_claims, international_assets, international_liabilities, job_openings, m1, m2, m3, monthly_cpi, nairu, natural_gas_storage, net_foreign_asset_position, non_farm_payrolls, non_farm_payrolls_change, part_time_employment, participation_rate, pce, pce_mom, policy_rate, policy_rate_midpoint, policy_rate_mlf, policy_rate_mro, policy_rate_target_lower, ppi, ppi_mom, primary_income_balance, retail_sales, retail_sales_control_group, retail_sales_ex_autos, retail_sales_ex_autos_and_gas, risk_free_rate, secondary_income_balance, sight_deposits, terms_of_trade, trade_balance, trade_weighted_index, trimmed_mean_inflation, unemployment, wage_price_index, wages. Required: currency, indicator.

known_at_time_task(as_of, currency, end_date, indicator, start_date)

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. Required: currency, indicator, as_of.

latest_announcements(currency)

Return the latest stored macroeconomic value for every available indicator in one currency. Use this for a compact current macro snapshot after data_catalogue has confirmed the currency coverage. Required: currency.

latest_commodities

Return the latest stored value for every available commodity indicator in one response. This subscriber tool is the batch counterpart to commodities.

macro_briefing_task(currency)

Build a compact macro briefing for a currency by combining catalogue, key macro series, release-calendar, prediction, news, risk-sentiment, COT, seasonality, and FX technical context. Supports MCP Tasks for async execution when clients send a task-augmented request. Required: currency.

macro_factor(limit, factor, offset, currency, end_date, start_date, include_sources, include_components)

Return a precomputed macro factor for one currency, with optional stored component scores and source references. Use this for a documented factor value, not as a substitute for inspecting its underlying macro releases. Required: currency, factor.

macro_heatmap_task(end_date, currencies, indicators, start_date)

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.

macro_news(limit, offset, currency, lookback_days)

Return recent official central-bank news and press-release headlines for a currency. Use this when a report needs headline context for central-bank policy, inflation, employment, GDP, trade, fiscal, energy, or commodity narratives. The tool returns official-source headline rows and lightweight keyword-derived affected_indicators and sentiment fields when a headline is classifiable. Supported currencies: AUD, BRL, CAD, CHF, CNY, CZK, DKK, EUR, GBP, HKD, INR, JPY, MXN, NOK, NZD, PEN, PLN, SEK, SGD, THB, USD, ZAR. Required: currency.

macro_regime_classifier_task(currency, end_date, start_date)

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. Required: currency.

macro_research_pack_task(base, quote, currency, end_date, indicator, start_date)

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. Required: currency, indicator.

macro_war_room_task(base, quote, currency, end_date, indicator, start_date)

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.

market_sessions(at)

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.

mcp_auth_guide

Explain which authentication mode to use for FXMacroData MCP across major clients and platforms. Use this when the user asks whether to use OAuth, an API key, a bearer token, ChatGPT/OpenAI Apps, Claude/Anthropic, Microsoft/VS Code/Copilot-style clients, AstrBot, Cursor, Codex, local scripts, or CI.

mcp_capabilities

Explain what the FXMacroData MCP server can do, which tools render MCP Apps, which tools return plain rows, what is public versus subscriber-only, and how to choose tools across ChatGPT, Claude, Cursor, Codex, and plain MCP clients. Use this when a user asks what is available, why visuals are not showing, or how to get the same result in a different interface.

official_dataset_family(dataset, currency, component, endpoint_type)

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. Required: endpoint_type, dataset, currency.

pair_intel_task(base, quote, end_date, start_date)

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. Required: base, quote.

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.

plot_visual_artifact(base, page, limit, query, quote, title, y_key, offset, series, source, x_axis, y_label, currency, end_date, indicator, chart_kind, start_date, prediction_type, prediction_source)

Build a generic MCP Apps chart from one or more FXMacroData endpoint families. Use this for arbitrary plot requests, multi-series charts, and actual-vs-consensus views that need to combine announcements with event_predictions. Supported series sources are announcements, predictions, forex, commodities, and cot. For example, plot USD policy-rate midpoint actuals against market consensus by passing one announcements series for `usd/policy_rate_midpoint` and one predictions series for `usd/policy_rate_midpoint` with `prediction_type=market_consensus`. This tool never fetches arbitrary URLs or runs custom chart code; it only composes approved FXMacroData API surfaces into the comparison chart app.

policy_rate_differential_visual_artifact(base, quote, end_date, start_date)

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

policy_scenario_modeler_task(base, quote, end_date, shock_bps, shock_leg, start_date, policy_shock_bps, elasticity_per_100bps)

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. Required: base, quote.

portfolio_risk_engine_task(horizon_events, positions_json, stress_shock_pct)

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. Required: positions_json.

press_releases(limit, offset, currency)

Return the public central-bank press-release archive for a currency without adding derived sentiment or indicator classifications. Use macro_news when a headline summary is useful; use this tool when the original official release rows matter. Required: currency.

quant_scenario_lab_task(base, quote, end_date, shock_bps, shock_leg, start_date, horizon_days, elasticity_per_100bps, annualized_volatility_pct)

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. Required: base, quote.

rate_curve(date, view, method, metric, currency, curve_family)

Return official government-nominal curve nodes, slopes, or derived forward segments for one currency. This is a subscriber data tool and preserves the endpoint's requested view and method metadata. Required: currency.

rate_differentials(base, limit, quote, offset, measure, end_date, rate_type, start_date, curve_family, end_tenor_years, start_tenor_years)

Return the stored or derived rate differential for one FX pair. Use the returned measure, rate type, curve family, and tenor metadata when explaining the result. Required: base, quote.

release_calendar(currency, end_date, timezone, indicator, start_date)

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 plus market-local timestamps. Pass `timezone` for an additional `announcement_datetime_requested_timezone` field. Each row has a `release` string with the indicator name and a `currency` code. Unbounded calls return future releases only; do not show stale past rows unless the user explicitly asks for historical/past calendar data. Consumer-facing clients should present the returned markdown agenda or render the Release Calendar App resource; do not summarize this tool as only a row count. Pass an optional `indicator` filter to narrow to a single series. Pass optional `start_date` and `end_date` bounds when the user mentions a month, week, day, or explicit date range. 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, average_hourly_earnings_mom, balance_on_goods, balance_on_services, breakeven_inflation_rate, building_approvals, building_permits, business_confidence, capital_account_balance, cb_assets, commodity_price_energy, commodity_price_ex_energy, commodity_price_index, commodity_prices, consumer_confidence, core_inflation, core_inflation_median, core_inflation_mom, core_inflation_trim, core_pce, core_pce_mom, credit_growth, crude_oil_inventories, current_account_balance, dairy_exports, deposit_rates, durable_goods_orders, employment, exports, financial_account_balance, foreign_reserves, full_time_employment, gdp, gdp_growth_q4_yoy, gdp_growth_qoq_saar, 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, household_credit, housing_starts, imports, inflation, inflation_linked_bond, inflation_mom, initial_jobless_claims, international_assets, international_liabilities, job_openings, m1, m2, m3, monthly_cpi, nairu, natural_gas_storage, net_foreign_asset_position, non_farm_payrolls, non_farm_payrolls_change, part_time_employment, participation_rate, pce, pce_mom, policy_rate, policy_rate_midpoint, policy_rate_mlf, policy_rate_mro, policy_rate_target_lower, ppi, ppi_mom, primary_income_balance, retail_sales, retail_sales_control_group, retail_sales_ex_autos, retail_sales_ex_autos_and_gas, risk_free_rate, secondary_income_balance, sight_deposits, terms_of_trade, trade_balance, trade_weighted_index, trimmed_mean_inflation, unemployment, wage_price_index, wages. Required: currency.

release_calendar_visual_artifact(currency, end_date, timezone, indicator, start_date)

Same payload as release_calendar, but named as an explicit visual artifact tool so compatible MCP Apps clients render the interactive Release Calendar App inline. Prefer this by default when the user asks to show, display, visualize, or render a macro release calendar, especially for prompts like 'show me the AUD release calendar'. Only prefer plain release_calendar when the user explicitly asks for a raw table, JSON, exact rows, or text-only output. Pass optional `indicator`, `start_date`, and `end_date` filters when the user names a specific series, month, week, day, or date range. Pass `timezone` when the user asks for local times in a specific city or region. 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, average_hourly_earnings_mom, balance_on_goods, balance_on_services, breakeven_inflation_rate, building_approvals, building_permits, business_confidence, capital_account_balance, cb_assets, commodity_price_energy, commodity_price_ex_energy, commodity_price_index, commodity_prices, consumer_confidence, core_inflation, core_inflation_median, core_inflation_mom, core_inflation_trim, core_pce, core_pce_mom, credit_growth, crude_oil_inventories, current_account_balance, dairy_exports, deposit_rates, durable_goods_orders, employment, exports, financial_account_balance, foreign_reserves, full_time_employment, gdp, gdp_growth_q4_yoy, gdp_growth_qoq_saar, 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, household_credit, housing_starts, imports, inflation, inflation_linked_bond, inflation_mom, initial_jobless_claims, international_assets, international_liabilities, job_openings, m1, m2, m3, monthly_cpi, nairu, natural_gas_storage, net_foreign_asset_position, non_farm_payrolls, non_farm_payrolls_change, part_time_employment, participation_rate, pce, pce_mom, policy_rate, policy_rate_midpoint, policy_rate_mlf, policy_rate_mro, policy_rate_target_lower, ppi, ppi_mom, primary_income_balance, retail_sales, retail_sales_control_group, retail_sales_ex_autos, retail_sales_ex_autos_and_gas, risk_free_rate, secondary_income_balance, sight_deposits, terms_of_trade, trade_balance, trade_weighted_index, trimmed_mean_inflation, unemployment, wage_price_index, wages. Required: currency.

release_risk_score_task(base, quote, horizon_events)

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. Required: base, quote.

risk_sentiment(end_date, start_date)

Return the global risk-on/risk-off sentiment series used for FX regime analysis. The result includes a derived composite score, regime label, component contributions, pagination, and data_quality metadata. Use this for cross-asset regime context before classifying high-beta, safe-haven, commodity, or USD-defensive FX conditions.

seasonality(month, end_date, instrument, lookback_years)

Get monthly return seasonality for an FX pair or XAU/USD. Use this when the user asks for seasonal patterns, month-of-year tendency, historical monthly win rate, or XAUUSD/gold seasonality. Returns monthly average return, median return, win rate, sample size, dispersion, and per-year monthly returns from stored FX or gold series. Required: instrument.

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.

Last successful function declaration observed on 2026-08-13. Source: https://fxmacrodata.com/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on 2026-08-13. Source: https://fxmacrodata.com/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Where to get it

• Repository — https://github.com/fxmacrodata/fxmacrodata
• Website — https://fxmacrodata.com
• Remote endpoint (streamable-http) — https://fxmacrodata.com/mcp

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These share tags the maintainers applied themselves, such as data, macroeconomics. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

How the author describes it

Topics the maintainer set on GitHub: data, forex, macroeconomics, trading.