MCP Server
El Tablero: Argentina economic data
ar.eltablero/argentina-economic-data
What this MCP does
Retrieves Argentine economic series, release dates, weekly summaries and statistical projections for inflation, exchange rates, rates and reserves.
Capabilities
Tools
5
tools
get_projection
Get a statistical projection
Project a series forward: point values with 80% and 95% bands, the models combined (ETS, ARIMA, Theta, chosen by walk-forward backtest), backtest errors and, when the series has one, the BCRA market-expectations survey (REM) median for the same months. Use it for "what's next" questions about inflation, exchange rates, interest rates or reserves; use get_series for past values. It is a statistical reference, not a forecast or advice: say so when you quote it. Needs a key from search_series. Series with too little history return an error. Read-only, no side effects, no authentication. Rate limited to 60 calls per minute per IP. Data updates at most once per business day.
Read only
Idempotent
Input schema
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['key'], 'properties': {'key': {'type': 'string', 'maxLength': 120, 'minLength': 3, 'description': 'Series key as returned by search_series, e.g. "bcra:27".'}, 'horizon': {'type': 'integer', 'maximum': 183, 'minimum': 1, 'description': 'How far ahead: calendar days for daily series (default 30, up to 183), periods for the rest (default 12 months, 8 quarters).'}}}
Output schema
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['attribution', 'key', 'name', 'unit', 'engine', 'method', 'backtest', 'benchmark', 'bands', 'horizon', 'disclaimer'], 'properties': {'key': {'type': 'string'}, 'name': {'type': 'string'}, 'unit': {'type': 'string'}, 'bands': {'type': 'object', 'required': ['method', 'origins'], 'properties': {'method': {'type': 'string'}, 'origins': {'type': 'number'}}, 'additionalProperties': False}, 'engine': {'enum': ['lote', 'sitio'], 'type': 'string', 'description': 'lote: daily batch models; sitio: computed on request'}, 'method': {'type': 'string'}, 'horizon': {'type': 'array', 'items': {'type': 'object', 'required': ['date', 'value', 'band_80', 'band_95'], 'properties': {'date': {'type': 'string'}, 'value': {'type': 'number'}, 'band_80': {'type': 'array', 'items': False, 'maxItems': 2, 'minItems': 2, 'prefixItems': [{'type': 'number'}, {'type': 'number'}]}, 'band_95': {'type': 'array', 'items': False, 'maxItems': 2, 'minItems': 2, 'prefixItems': [{'type': 'number'}, {'type': 'number'}]}}, 'additionalProperties': False}}, 'members': {'type': 'array', 'items': {'type': 'object', 'required': ['method', 'weight'], 'properties': {'method': {'type': 'string'}, 'weight': {'type': 'number'}}, 'additionalProperties': False}}, 'backtest': {'type': 'object', 'required': ['mae', 'rmse', 'mape', 'coverage95', 'n'], 'properties': {'n': {'type': 'number'}, 'mae': {'type': 'number'}, 'mape': {'type': ['number', 'null']}, 'rmse': {'type': 'number'}, 'coverage95': {'type': 'number'}}, 'additionalProperties': False}, 'benchmark': {'type': 'object', 'required': ['method', 'rmse'], 'properties': {'rmse': {'type': 'number'}, 'method': {'type': 'string'}}, 'additionalProperties': False}, 'consensus': {'type': 'object', 'required': ['survey_date', 'description', 'points'], 'properties': {'points': {'type': 'array', 'items': {'type': 'object', 'required': ['date', 'median'], 'properties': {'p25': {'type': 'number'}, 'p75': {'type': 'number'}, 'date': {'type': 'string'}, 'top10': {'type': 'number'}, 'median': {'type': 'number'}}, 'additionalProperties': False}}, 'description': {'type': 'string'}, 'survey_date': {'type': 'string'}, 'participants': {'type': 'number'}}, 'additionalProperties': False}, 'disclaimer': {'type': 'string'}, 'attribution': {'type': 'string'}}, 'additionalProperties': False}
get_release_calendar
Get the official release calendar
List the scheduled INDEC releases (CPI inflation, EMAE activity, wages, trade, industry, construction, employment, poverty) between two dates, each with date, time in Argentina, report name, period covered and the series keys it updates. Use it to answer "when is the next inflation figure out" or to know whether a value is about to change. Defaults to the next 60 days from today. Only INDEC for now. Read-only, no side effects, no authentication. Rate limited to 60 calls per minute per IP. Data updates at most once per business day.
Read only
Idempotent
Input schema
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'properties': {'to': {'type': 'string', 'pattern': '^\\d{4}-\\d{2}-\\d{2}$', 'description': 'Last day to include, YYYY-MM-DD. Defaults to 60 days after from.'}, 'from': {'type': 'string', 'pattern': '^\\d{4}-\\d{2}-\\d{2}$', 'description': 'First day to include, YYYY-MM-DD, Argentina time. Defaults to today.'}}}
Output schema
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['attribution', 'from', 'to', 'time_zone', 'url', 'releases'], 'properties': {'to': {'type': 'string'}, 'url': {'type': 'string'}, 'from': {'type': 'string'}, 'releases': {'type': 'array', 'items': {'type': 'object', 'required': ['date', 'time', 'source', 'report', 'period', 'series'], 'properties': {'date': {'type': 'string'}, 'time': {'type': 'string'}, 'period': {'type': 'string'}, 'report': {'type': 'string'}, 'series': {'type': 'array', 'items': {'type': 'string'}}, 'source': {'type': 'string'}}, 'additionalProperties': False}}, 'time_zone': {'type': 'string'}, 'attribution': {'type': 'string'}}, 'additionalProperties': False}
get_series
Get a series' history
Return the historical values of one series with its metadata (name, unit, frequency, source, page URL, last date and value). Use it for past and current values; use get_projection for future ones. Needs a key from search_series; well-known keys: bcra:27 monthly inflation, bcra:28 annual inflation, bcra:4 retail USD rate, bcra:5 wholesale USD rate, bcra:1 reserves, bcra:7 BADLAR rate, bcra:44 TAMAR rate, bcra:31 UVA, bcra:30 CER. Without range or from it returns the last year for daily series and the last five years for the rest. At most 500 points, the most recent ones; a note says how many older points were left out. An unknown key returns an error that asks to search first. Read-only, no side effects, no authentication. Rate limited to 60 calls per minute per IP. Data updates at most once per business day.
Read only
Idempotent
Input schema
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['key'], 'properties': {'key': {'type': 'string', 'maxLength': 120, 'minLength': 3, 'description': 'Series key with its source prefix, as returned by search_series: "bcra:27", "datos:143.3_NO_PR_2004_A_31", "derivada:brecha_blue".'}, 'from': {'type': 'string', 'pattern': '^\\d{4}-\\d{2}(-\\d{2})?$', 'description': 'Start date as YYYY-MM or YYYY-MM-DD; rounded down to the first day of that month. Takes precedence over range.'}, 'range': {'enum': ['1m', '3m', '6m', '1y', '5y', 'max'], 'type': 'string', 'description': 'Time window ending at the last available value: 1m, 3m, 6m, 1y, 5y or max (full history). Ignored if from is given.'}}}
Output schema
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['attribution', 'key', 'name', 'category', 'unit', 'frequency', 'source', 'url', 'last_date', 'last_value', 'points'], 'properties': {'key': {'type': 'string'}, 'url': {'type': 'string'}, 'name': {'type': 'string'}, 'note': {'type': 'string'}, 'unit': {'type': 'string'}, 'points': {'type': 'array', 'items': {'type': 'array', 'items': False, 'maxItems': 2, 'minItems': 2, 'prefixItems': [{'type': 'string'}, {'type': 'number'}]}, 'description': '[date YYYY-MM-DD, value], oldest first'}, 'source': {'type': 'string'}, 'category': {'type': 'string'}, 'frequency': {'type': 'string', 'description': 'D daily, M monthly, T quarterly, S semiannual, A annual'}, 'last_date': {'type': 'string'}, 'last_value': {'type': 'number'}, 'attribution': {'type': 'string'}}, 'additionalProperties': False}
get_weekly_summary
Get the weekly economic summary
Return one plain-Spanish sentence per indicator (USD retail and wholesale, reserves, interest rates, inflation, UVA) describing how it moved during a closed week, with direction and links, plus the permalink of that week's summary page. Use it for a quick "how did the Argentine economy do this week" overview; use get_series for exact values. Defaults to the last closed week (Monday to Sunday). Read-only, no side effects, no authentication. Rate limited to 60 calls per minute per IP. Data updates at most once per business day.
Read only
Idempotent
Input schema
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'properties': {'week_ending': {'type': 'string', 'pattern': '^\\d{4}-\\d{2}-\\d{2}$', 'description': 'Sunday that closes the week, as YYYY-MM-DD. Omit for the last closed week; any other date is anchored to the previous Sunday.'}}}
Output schema
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['attribution', 'week', 'url', 'items'], 'properties': {'url': {'type': 'string'}, 'week': {'type': 'object', 'required': ['from', 'to', 'title'], 'properties': {'to': {'type': 'string'}, 'from': {'type': 'string'}, 'title': {'type': 'string'}}, 'additionalProperties': False}, 'items': {'type': 'array', 'items': {'type': 'object', 'required': ['key', 'text', 'direction', 'url'], 'properties': {'key': {'type': 'string'}, 'url': {'type': 'string'}, 'text': {'type': 'string'}, 'direction': {'type': 'number', 'description': '-1 down, 0 flat, 1 up'}}, 'additionalProperties': False}}, 'attribution': {'type': 'string'}}, 'additionalProperties': False}
search_series
Search Argentine economic series
Find Argentine economic time series by keywords and get their keys. Call this first whenever you don't already know a series key, then pass the key to get_series (history) or get_projection (forecast). Covers BCRA (exchange rates, reserves, interest rates, monetary aggregates, UVA, CER), INDEC via datos.gob.ar (inflation, activity, wages, trade, employment, poverty) and derived series (real rate, FX gap). Matches every word, ignoring accents and case; series names are in Spanish, so Spanish keywords work best ("inflacion", "dolar", "reservas", "badlar", "salarios"). Returns up to 15 matches with key, name, category, source and page URL; an empty list means no match, not an error. Read-only, no side effects, no authentication. Rate limited to 60 calls per minute per IP. Data updates at most once per business day.
Read only
Idempotent
Input schema
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['query'], 'properties': {'query': {'type': 'string', 'maxLength': 120, 'minLength': 1, 'description': 'Keywords to match against series names and categories, e.g. "inflacion mensual" or "tipo de cambio".'}}}
Output schema
{'type': 'object', '$schema': 'https://json-schema.org/draft/2020-12/schema', 'required': ['attribution', 'query', 'results'], 'properties': {'note': {'type': 'string'}, 'query': {'type': 'string'}, 'results': {'type': 'array', 'items': {'type': 'object', 'required': ['key', 'name', 'category', 'source', 'url'], 'properties': {'key': {'type': 'string'}, 'url': {'type': 'string'}, 'name': {'type': 'string'}, 'source': {'type': 'string'}, 'category': {'type': 'string'}}, 'additionalProperties': False}}, 'attribution': {'type': 'string'}}, 'additionalProperties': False}
History
Recent tool changes
Added
get_release_calendar
Sept. 30, 2026, 2:40 a.m.
Added
get_weekly_summary
Sept. 30, 2026, 2:40 a.m.
Added
get_projection
Sept. 30, 2026, 2:40 a.m.
Added
get_series
Sept. 30, 2026, 2:40 a.m.
Added
search_series
Sept. 30, 2026, 2:40 a.m.
Discover
Similar MCP servers
AlpineDataWorks Intelligence Server
com.alpinedataworks/adw-intelligence-server
Provides economic, market, supply-chain, real-estate, energy, consumer, labor, and other scored intelligence indices with histori…
Stratalize Finance
com.stratalize/finance
Provides financial, macroeconomic, banking, credit, commodities, M&A, ESG, labor, and regulatory benchmarks for analysis and plan…
Valuein — SEC EDGAR Fundamentals & Smart-Money Data
io.github.valuein/mcp-sec-edgar
Provides point-in-time SEC EDGAR fundamentals, filings, ownership signals, financial analysis, valuation models, research reports…
equibles
io.github.daniel3303/equibles
Provides equity and market research tools covering SEC filings, company financials, portfolios, prices, options, macroeconomic da…
DFX Real Estate Intelligence
io.github.Capital-W-Holdings/us-property-parcel-real-estate-debt
Provides US commercial real estate, parcel, debt maturity, bank CRE exposure, private capital, investor, ownership, occupancy, an…
simplefunctions
io.github.spfunctions/simplefunctions
Provides prediction-market data, thesis analysis, market signals, portfolio tracking, and automated intent-based trading workflow…
EventTrader MCP
com.cymetica/event-trader-mcp
Provides prediction-market research and trading capabilities, including real-time event-market data, CLOB execution paths, fund i…
Signal8
ai.signal8/mcp
Provides SEC filings, dilution data, insider and institutional ownership, and political-trade data.