BCB Meios de Pagamento MCP
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- AlicenseAqualityDmaintenanceEnables access to Brazil's Central Bank (BCB) Open Data API for payment methods, allowing queries about PIX, card transactions, ATM terminals, interchange rates, and other payment statistics through natural language.8MIT
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- AlicenseNot gradedqualityDmaintenanceConnects Brazilian banks (Itaú, Bradesco, Nubank, etc.) to AI agents, enabling natural language queries about expenses, statements, investments, and credit cards via regulated Open Finance.20MIT
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- AlicenseBqualityCmaintenanceEnables AI assistants to access Brazilian financial market data from public sources, including SELIC, CDI, IPCA, PTAX exchange rates, Tesouro Direto bonds, and financial calculators, without registration.18MIT
- FlicenseBqualityDmaintenanceQuery a variety of data from Brasil resources seamlessly. Access information on postal codes, area codes, banks, holidays, taxes, and more through a unified interface. Enhance your AI agents and applications with rich and updated data from BrasilAPI effortlessly.67-
TDQS
Scored across 8 tools
Most tools target a clearly distinct dataset, such as interchange fees, discount fees, ATMs, cardholders, and merchants. Some overlap exists between monthly/quarterly payment method statistics and card transaction statistics, but the descriptions help clarify the different periods and instruments.
All tool names follow the same predictable pattern: consultar_ + a descriptive noun phrase, consistently using snake_case and Portuguese terminology. Temporal qualifiers like mensal and trimestral are used consistently where relevant.
Eight tools is a well-scoped count for a specialized payment statistics server. Each tool represents a meaningful data family without unnecessary duplication or excessive surface area.
The set covers the main payment-system statistics areas: fees, payment instruments, cards, cardholders, ATMs, and merchants. Minor gaps exist for related data like specific payment arrangements or participants, but the core read-only query workflows are well supported.