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caiomioto2

Pluggy MCP Starter

by caiomioto2

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    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to access financial data from 20,000+ banks across 40+ countries, allowing users to query account balances, transactions, and spending patterns through natural language.
      4
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Connects PagBank accounts to AI assistants via Open Finance Brasil, enabling natural language queries about balances, statements, credit card bills, and investments. Read-only and regulated by the Central Bank.
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    • F
      license
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      quality
      B
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      Enables users to ask plain-English questions about their expenses, query and compare spending, add categorized transactions, forecast future spending, and detect anomalies through natural language.
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      Connects Brazilian banks (Itaú, Bradesco, Nubank, etc.) to AI agents, enabling natural language queries about expenses, statements, investments, and credit cards via regulated Open Finance.
      20
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    • A
      license
      A
      quality
      C
      maintenance
      Provides AI assistants with secure, read-only access to over 15,000 financial institutions across the US and Europe via the Model Context Protocol. It enables users to query account balances, transactions, and spending breakdowns through natural language conversation.
      5
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    TDQS

    A3.7/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have clearly distinct roles: pluggy_schema provides metadata and semantics, while pluggy_query executes read-only SQL. The query description explicitly directs agents to call the schema tool first, reducing any risk of misselection.

    Naming Consistency5/5

    Both tools follow the same pluggy_ prefix and snake_case convention. The names are predictable and readable.

    Tool Count3/5

    Only two tools are provided, which is borderline thin for a server with a defined domain. While the starter scope makes this acceptable, it is below the typical well-scoped range of 3-15 tools.

    Completeness4/5

    For a read-only query server, schema discovery plus SQL SELECT covers the core lifecycle. Minor convenience gaps exist, such as direct connection/account listing, but raw SQL can work around them.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues