MCP-Server
brazil-macro-ai
com.brazilmacro/brazil-macro-ai
Was dieses MCP kann
Provides Brazilian macroeconomic and financial data covering inflation, growth, employment, policy rates, yield curves, market expectations, and survey revisions.
Funktionen
Tools
11
Tools
brazil_focus_revisions
Detects whether Brazilian economists are revising inflation
(IPCA), policy-rate (Selic), growth (PIB Total) or FX (Câmbio)
expectations, and measures the speed and dispersion of those revisions
â 1-week, 4-week and 13-week changes in the Focus survey median, plus a
deterministic rising/falling/stable direction and accelerating/
decelerating/stable speed classification (method_id focus_revisions_v1).
Built directly on Focus historical vintages â never recalculates a past
date using data published after it.
Use when: assessing sentiment shifts among professional economists for
Brazil's main macro indicators, or whether a recent revision is
speeding up or slowing down.
Do not use when: you want market-implied pricing (use
get_brazil_copom_path) or a market-vs-consensus comparison (use
compare_brazil_market_vs_focus) â this tool is Focus-survey-only.
Units are NOT always basis points â check the `unit` field in the
response (bps for Selic/IPCA, percentage_points for PIB Total, BRL for
Câmbio).
Args:
indicator: one of "Selic", "IPCA", "PIB Total", "Câmbio".
reference_period: e.g. "2027" (the forecast year). Defaults to the
current year.
segment: "general" (all respondents) or "top5". Never mixed.
as_of: optional YYYY-MM-DD date. Defaults to today.
payment_token: required in staging ($0.05/call per pricing.yaml).
Eingabeschema
{'type': 'object', 'title': 'brazil_focus_revisionsArguments', 'required': ['indicator'], 'properties': {'as_of': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'As Of', 'default': None}, 'segment': {'type': 'string', 'title': 'Segment', 'default': 'general'}, 'agent_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Agent Id', 'default': None}, 'indicator': {'type': 'string', 'title': 'Indicator'}, 'session_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Session Id', 'default': None}, 'payment_token': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Payment Token', 'default': None}, 'discovery_source': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Discovery Source', 'default': None}, 'reference_period': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Reference Period', 'default': None}, 'synthetic_identity': {'type': 'boolean', 'title': 'Synthetic Identity', 'default': False}}}
Ausgabeschema
{'type': 'object', 'title': 'brazil_focus_revisionsOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
brazil_inflation_breakeven
Market-implied Brazilian inflation breakeven â Fisher's EXACT
identity ((1+nominal)/(1+real) - 1), never the linear approximation â
computed only where the nominal and real curves both have support at
the same tenor (method_id breakeven_fisher_v1). Returns
`nominal_zero_rate_pct` and `real_zero_rate_pct` alongside the
breakeven so the result is auditable.
IMPORTANT: this is NOT "expected inflation" â it embeds risk premium,
liquidity and convexity effects. The response field is deliberately
named `market_implied_inflation_breakeven`.
Use when: assessing what the market is pricing for future inflation,
as distinct from Focus survey expectations (use
brazil_focus_revisions with indicator="IPCA" for that).
Do not use when: you need either curve alone (use brazil_yield_curve /
brazil_real_curve).
Args:
as_of: optional YYYY-MM-DD. Defaults to today.
tenors: comma-separated subset of 1Y,2Y,3Y,5Y,7Y,10Y. Default: all.
quote_side: "buy", "sell", or "mid" (default).
payment_token: required in staging ($0.03/call per pricing.yaml).
Eingabeschema
{'type': 'object', 'title': 'brazil_inflation_breakevenArguments', 'properties': {'as_of': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'As Of', 'default': None}, 'tenors': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Tenors', 'default': None}, 'agent_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Agent Id', 'default': None}, 'quote_side': {'type': 'string', 'title': 'Quote Side', 'default': 'mid'}, 'session_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Session Id', 'default': None}, 'payment_token': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Payment Token', 'default': None}, 'discovery_source': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Discovery Source', 'default': None}, 'synthetic_identity': {'type': 'boolean', 'title': 'Synthetic Identity', 'default': False}}}
Ausgabeschema
{'type': 'object', 'title': 'brazil_inflation_breakevenOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
brazil_macro_actual
Returns a Brazilian macro headline actual (IPCA, IPCA-15, GDP,
PIM-PF industrial production, PMC retail sales, PMS services volume,
or PNAD ContÃnua unemployment) with full release-vintage provenance â
built on a release/vintage layer that NEVER overwrites an original
published number when a later revision arrives (method_id
macro_actual_v1).
Use when: you need the current headline reading for a Brazilian macro
indicator, or (via `vintage`) what was known at a specific historical
instant vs. what is currently the revised/correct value.
Do not use when: you want the surprise vs. consensus (use
brazil_macro_surprise, IPCA only) or the release schedule (use
brazil_macro_calendar).
Args:
indicator: one of IPCA, IPCA15, GDP, PIM_PF, PMC, PMS, PNAD_UNEMPLOYMENT.
reference_period: e.g. "2026-07" (monthly) or "2026-Q2" (GDP).
as_of: YYYY-MM-DD, REQUIRED when vintage="as_known".
vintage: "latest" (currently-correct value, default), "first"
(original release, revision_number=0), or "as_known" (what was
known publicly at `as_of`).
Eingabeschema
{'type': 'object', 'title': 'brazil_macro_actualArguments', 'required': ['indicator', 'reference_period'], 'properties': {'as_of': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'As Of', 'default': None}, 'vintage': {'type': 'string', 'title': 'Vintage', 'default': 'latest'}, 'agent_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Agent Id', 'default': None}, 'indicator': {'type': 'string', 'title': 'Indicator'}, 'session_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Session Id', 'default': None}, 'payment_token': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Payment Token', 'default': None}, 'discovery_source': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Discovery Source', 'default': None}, 'reference_period': {'type': 'string', 'title': 'Reference Period'}, 'synthetic_identity': {'type': 'boolean', 'title': 'Synthetic Identity', 'default': False}}}
Ausgabeschema
{'type': 'object', 'title': 'brazil_macro_actualOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
brazil_macro_calendar
Official IBGE release calendar for Brazilian macro indicators
(IPCA, IPCA-15, GDP, PIM-PF, PMC, PMS, PNAD ContÃnua unemployment),
with status transitions scheduled -> released -> corrected.
Use when: you need to know when the next release of a Brazilian macro
indicator is scheduled, or whether a given period has been released yet.
Args:
event: optional filter to one indicator (e.g. "IPCA"). Omit for all.
upcoming_only: if true (default), only events not yet released.
limit: max events returned (default 20).
Eingabeschema
{'type': 'object', 'title': 'brazil_macro_calendarArguments', 'properties': {'event': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Event', 'default': None}, 'limit': {'type': 'integer', 'title': 'Limit', 'default': 20}, 'agent_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Agent Id', 'default': None}, 'session_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Session Id', 'default': None}, 'payment_token': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Payment Token', 'default': None}, 'upcoming_only': {'type': 'boolean', 'title': 'Upcoming Only', 'default': True}, 'discovery_source': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Discovery Source', 'default': None}, 'synthetic_identity': {'type': 'boolean', 'title': 'Synthetic Identity', 'default': False}}}
Ausgabeschema
{'type': 'object', 'title': 'brazil_macro_calendarOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
brazil_macro_surprise
Compare a Brazilian macroeconomic release with the latest public
consensus that was available before the release, with full vintage and
source provenance (method_id macro_surprise_v1). The consensus is
ALWAYS the last Focus survey reading published strictly before the
official release timestamp â never a reading published after it, and
the actual is always the FIRST release, never a later revision.
IMPORTANT: only computed for indicators with a methodologically valid,
event-specific public consensus â currently IPCA only. GDP/PIM-PF/PMC/
PMS/PNAD_UNEMPLOYMENT raise an error rather than fabricate a consensus
(use brazil_macro_actual for those â actual/momentum only, no surprise).
Args:
indicator: currently only "IPCA" is eligible.
reference_period: e.g. "2026-07".
Eingabeschema
{'type': 'object', 'title': 'brazil_macro_surpriseArguments', 'required': ['indicator', 'reference_period'], 'properties': {'agent_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Agent Id', 'default': None}, 'indicator': {'type': 'string', 'title': 'Indicator'}, 'session_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Session Id', 'default': None}, 'payment_token': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Payment Token', 'default': None}, 'discovery_source': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Discovery Source', 'default': None}, 'reference_period': {'type': 'string', 'title': 'Reference Period'}, 'synthetic_identity': {'type': 'boolean', 'title': 'Synthetic Identity', 'default': False}}}
Ausgabeschema
{'type': 'object', 'title': 'brazil_macro_surpriseOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
brazil_monetary_policy_divergence
Assess divergence between Brazilian market-implied monetary policy,
economist expectations, inflation breakevens and realized inflation
surprises, using point-in-time public data with full provenance
(method_id monetary_policy_divergence_v1).
Consumes ONLY the already-homologated capability layer (market-vs-Focus
meeting gaps, Focus Selic/IPCA 4-week revisions, the 5Y inflation
breakeven and its 20-business-day change, and the latest eligible IPCA
surprise) â never recomputes those engines and never fabricates a
number a component doesn't support. Each of the 5 evidence components
gets its own deterministic classification (strong_dovish..strong_
hawkish) with a versioned threshold set (threshold_version
B4_THRESHOLDS_V1), quality-weighted by the underlying engine's own
quality_status. `overall_signal` is a QUALITATIVE composite
(strong_dovish/dovish/balanced/hawkish/strong_hawkish/
insufficient_evidence) â deliberately NOT a fabricated 0-100 score.
`evidence_agreement` (0-1) tells you separately whether the components
agree with each other, independent of the direction of the signal.
IMPORTANT: `product_validation_status` is "internal_validated_external_
pending" until C0's external benchmark passes (see
docs/C0_external_validation_protocol.md), then "validated" â several
inputs (the market-implied Copom path, the real/breakeven curve) are
themselves still individually pending external benchmark validation,
never hidden here. This is macro intelligence, NOT an investment
recommendation.
Use when: assessing whether Brazilian market pricing, economist
consensus, market-implied inflation and realized inflation data agree
or diverge on the direction of monetary policy pressure.
Do not use when: you need only one dimension â use
compare_brazil_market_vs_focus, brazil_focus_revisions,
brazil_inflation_breakeven, or brazil_macro_surprise directly.
Args:
as_of: optional YYYY-MM-DD date. Defaults to today.
horizon_meetings: must be 4 in v1 (the PolicyGap weighting
0.40/0.30/0.20/0.10 is fixed for exactly 4 meetings).
include_evidence: if true (default), include the full per-component
evidence table (value, signal, quality_status, weights,
validation status, source vintage).
payment_token: required in staging ($0.25/call per pricing.yaml).
Eingabeschema
{'type': 'object', 'title': 'brazil_monetary_policy_divergenceArguments', 'properties': {'as_of': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'As Of', 'default': None}, 'agent_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Agent Id', 'default': None}, 'session_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Session Id', 'default': None}, 'payment_token': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Payment Token', 'default': None}, 'discovery_source': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Discovery Source', 'default': None}, 'horizon_meetings': {'type': 'integer', 'title': 'Horizon Meetings', 'default': 4}, 'include_evidence': {'type': 'boolean', 'title': 'Include Evidence', 'default': True}, 'synthetic_identity': {'type': 'boolean', 'title': 'Synthetic Identity', 'default': False}}}
Ausgabeschema
{'type': 'object', 'title': 'brazil_monetary_policy_divergenceOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
brazil_real_curve
Real (IPCA-linked) Brazilian sovereign zero-coupon curve,
bootstrapped from Tesouro Direto NTN-B Principal (zero-coupon) and
NTN-B (semi-annual real coupon) offered-security quotes. Built entirely
from the bonds' own quoted real yields â no Focus/IPCA projection is
used anywhere in this engine.
curve_scope = "tesouro_direto_offered_securities" (see brazil_yield_curve).
Note: Tesouro currently offers no short-dated real zero-coupon bond, so
this curve typically has NO coverage for 1Y/2Y tenors â check `status`
per tenor.
Use when: you need Brazil's real (inflation-protected) rate curve.
Do not use when: you need the nominal curve (brazil_yield_curve) or
breakeven inflation (brazil_inflation_breakeven).
Args:
as_of: optional YYYY-MM-DD. Defaults to today.
tenors: comma-separated subset of 1Y,2Y,3Y,5Y,7Y,10Y. Default: all.
quote_side: "buy", "sell", or "mid" (default).
payment_token: required in staging ($0.03/call per pricing.yaml).
Eingabeschema
{'type': 'object', 'title': 'brazil_real_curveArguments', 'properties': {'as_of': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'As Of', 'default': None}, 'tenors': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Tenors', 'default': None}, 'agent_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Agent Id', 'default': None}, 'quote_side': {'type': 'string', 'title': 'Quote Side', 'default': 'mid'}, 'session_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Session Id', 'default': None}, 'payment_token': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Payment Token', 'default': None}, 'discovery_source': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Discovery Source', 'default': None}, 'synthetic_identity': {'type': 'boolean', 'title': 'Synthetic Identity', 'default': False}}}
Ausgabeschema
{'type': 'object', 'title': 'brazil_real_curveOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
brazil_yield_curve
Nominal Brazilian sovereign zero-coupon curve, bootstrapped from
Tesouro Direto LTN (zero-coupon) and NTN-F (semi-annual coupon)
offered-security quotes (method_id sovereign_zero_curve_bootstrap_v1).
curve_scope = "tesouro_direto_offered_securities": this is NOT an
institutional ANBIMA/Bloomberg ETTJ â it's derived from retail-offered
public securities, published as open data (ODbL license). Tenors
outside the curve's actual node coverage return
status="unsupported", never extrapolated.
Use when: you need Brazil's nominal risk-free curve shape or a
specific nominal zero rate.
Do not use when: you need the real (inflation-linked) curve (use
brazil_real_curve) or breakeven inflation (use
brazil_inflation_breakeven).
Args:
as_of: optional YYYY-MM-DD. Defaults to today.
tenors: comma-separated subset of 1Y,2Y,3Y,5Y,7Y,10Y. Default: all.
quote_side: "buy", "sell", or "mid" (default).
payment_token: required in staging ($0.01/call per pricing.yaml).
Eingabeschema
{'type': 'object', 'title': 'brazil_yield_curveArguments', 'properties': {'as_of': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'As Of', 'default': None}, 'tenors': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Tenors', 'default': None}, 'agent_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Agent Id', 'default': None}, 'quote_side': {'type': 'string', 'title': 'Quote Side', 'default': 'mid'}, 'session_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Session Id', 'default': None}, 'payment_token': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Payment Token', 'default': None}, 'discovery_source': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Discovery Source', 'default': None}, 'synthetic_identity': {'type': 'boolean', 'title': 'Synthetic Identity', 'default': False}}}
Ausgabeschema
{'type': 'object', 'title': 'brazil_yield_curveOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
compare_brazil_market_vs_focus
Compares the market-implied Copom path (DI1-derived) against the BCB
Focus survey median, meeting-by-meeting (not just year-end), returning
the gap in basis points per meeting and an overall dovish/hawkish
classification (method_id market_vs_focus_meetings_v1).
Use when: assessing whether Brazilian rates markets are pricing more or
less monetary policy action than professional economists' consensus â
useful for research agents, news agents, or risk agents monitoring
Brazil-specific policy surprises.
Do not use when: you only need one side of the comparison (use
get_brazil_copom_path for market pricing alone, or Focus data directly
for consensus alone).
Args:
as_of: optional YYYY-MM-DD date. Defaults to today.
horizon: number of upcoming Copom meetings to compare (1-8, default 4).
payment_token: required in staging ($0.15/call per pricing.yaml).
Eingabeschema
{'type': 'object', 'title': 'compare_brazil_market_vs_focusArguments', 'properties': {'as_of': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'As Of', 'default': None}, 'horizon': {'type': 'integer', 'title': 'Horizon', 'default': 4}, 'agent_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Agent Id', 'default': None}, 'session_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Session Id', 'default': None}, 'payment_token': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Payment Token', 'default': None}, 'discovery_source': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Discovery Source', 'default': None}, 'synthetic_identity': {'type': 'boolean', 'title': 'Synthetic Identity', 'default': False}}}
Ausgabeschema
{'type': 'object', 'title': 'compare_brazil_market_vs_focusOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
get_brazil_copom_path
Returns market-implied Brazilian Selic expectations for upcoming
Copom meetings, derived from B3 DI1 futures via a meeting-step bootstrap
(method_id copom_path_di1_v1). Each entry gives the implied Selic level
and the implied change in basis points for that specific meeting date â
not rounded to 25bp increments.
Use when: estimating expected BCB policy changes, the terminal rate, or
cumulative easing/tightening priced by the market over the next 1-8
Copom meetings.
Do not use when: you want economists' survey expectations instead of
market pricing (use brazil_focus_revisions) or a direct comparison
between the two (use compare_brazil_market_vs_focus).
Limitations: requires liquid DI1 data for the as_of date's most recent
trading day; DU counts use the validated B3 trading calendar (A6.1).
Args:
as_of: optional YYYY-MM-DD date. Defaults to today.
meetings: number of upcoming Copom meetings to return (1-8, default 4).
agent_id, session_id, discovery_source: optional C1 telemetry fields.
payment_token: required in staging for this priced capability
($0.10/call per pricing.yaml) â omit to get the simulated
payment_required response instead of a result.
Eingabeschema
{'type': 'object', 'title': 'get_brazil_copom_pathArguments', 'properties': {'as_of': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'As Of', 'default': None}, 'agent_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Agent Id', 'default': None}, 'meetings': {'type': 'integer', 'title': 'Meetings', 'default': 4}, 'session_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Session Id', 'default': None}, 'payment_token': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Payment Token', 'default': None}, 'discovery_source': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Discovery Source', 'default': None}, 'synthetic_identity': {'type': 'boolean', 'title': 'Synthetic Identity', 'default': False}}}
Ausgabeschema
{'type': 'object', 'title': 'get_brazil_copom_pathOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
get_brazil_selic_snapshot
Returns Brazil's current policy rate (Selic target) plus realized
short-term rates (Selic 252, CDI) and the last Copom decision.
Use when: you need the current or historical Brazilian policy rate, or
the most recent Copom decision, without needing forward-looking pricing.
Do not use when: you need market expectations for FUTURE meetings â use
get_brazil_copom_path or compare_brazil_market_vs_focus instead.
Args:
as_of: optional YYYY-MM-DD date for a historical snapshot (respects
vintage â never uses data published after this date). Defaults
to today.
agent_id, session_id, discovery_source, payment_token: optional
telemetry/access-policy fields (C1) â safe to omit; this
capability is free and always returns 200 either way.
Eingabeschema
{'type': 'object', 'title': 'get_brazil_selic_snapshotArguments', 'properties': {'as_of': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'As Of', 'default': None}, 'agent_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Agent Id', 'default': None}, 'session_id': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Session Id', 'default': None}, 'payment_token': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Payment Token', 'default': None}, 'discovery_source': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Discovery Source', 'default': None}, 'synthetic_identity': {'type': 'boolean', 'title': 'Synthetic Identity', 'default': False}}}
Ausgabeschema
{'type': 'object', 'title': 'get_brazil_selic_snapshotOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
Verlauf
Letzte Tool-Änderungen
Hinzugefügt
brazil_monetary_policy_divergence
17. September 2026 12:34
Hinzugefügt
brazil_macro_surprise
17. September 2026 12:34
Hinzugefügt
brazil_macro_calendar
17. September 2026 12:34
Hinzugefügt
brazil_macro_actual
17. September 2026 12:34
Hinzugefügt
brazil_inflation_breakeven
17. September 2026 12:34
Hinzugefügt
brazil_real_curve
17. September 2026 12:34
Hinzugefügt
brazil_yield_curve
17. September 2026 12:34
Hinzugefügt
brazil_focus_revisions
17. September 2026 12:34
Hinzugefügt
compare_brazil_market_vs_focus
17. September 2026 12:34
Hinzugefügt
get_brazil_copom_path
17. September 2026 12:34
Hinzugefügt
get_brazil_selic_snapshot
17. September 2026 12:34
Entdecken
Ähnliche MCP-Server
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.