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MCP Brazil Public Data

by devantage
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Python

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    Deploy Server
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    TDQS

    A3.6/5.0

    Scored across 15 tools

    Disambiguation3/5

    Most tools are distinct (CNPJ, CEP, DDD, ISBN, bank, broker, domain are clearly separate). However, list_rates/get_rate and list_currencies/get_exchange_rate are legitimate duos, but list_banks/get_bank alongside list_rates/get_rate create a repetitive pattern where the list/get pairing could cause an agent to pick the wrong 'get' for a given symbol/code. list_states and list_municipalities are related but distinct enough.

    Naming Consistency4/5

    The set follows a mostly consistent pattern: list_X for enumeration (list_states, list_banks, list_holidays, list_rates, list_currencies, list_municipalities), lookup_X for single-record lookups by identifier (lookup_cnpj, lookup_cep, lookup_ddd, lookup_isbn, lookup_broker), and get_X for fetching specific values (get_bank, get_rate, get_exchange_rate). The mixing of 'lookup' and 'get' for similar operations is the only inconsistency, though both are clear.

    Tool Count4/5

    15 tools is slightly on the higher side but reasonable for a broad 'public data' server covering multiple domains (geography, companies, finance, telecom, books, domains). Each tool targets a distinct data source, so none feel redundant. Could arguably be trimmed, but the scope justifies the count.

    Completeness3/5

    The server covers a broad but shallow set of disjoint domains. Within each domain there are clear gaps: holidays has no state/municipal holidays (noted in description), banks has list+get but no search-by-name, rates/currencies are read-only with no historical range beyond specific date for exchange. The domain is inherently a heterogeneous reference service, so completeness is hard to define, but several common lookups (e.g., CNPJ search by name, CEP range) are absent.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

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