Skip to main content
Glama

Related Servers

Alternatives to bcrp-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      C
      maintenance
      Provides access to over 5,000 macroeconomic indicators from the Banco Central de Reserva del Perú (BCRP) statistical database. It enables AI agents to search for indicators, fetch time-series data, and generate professional economic charts.
      4
      1
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables Claude to answer questions with official Peruvian banking, pension-fund, and insurance statistics, including delinquency, solvency, market share, fees, profitability, and rankings, while citing the bulletin, period, and source spreadsheet for each figure.
      10
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI agents to access economic statistics from the Central Reserve Bank of Peru, including exchange rates, interest rates, and GDP, without requiring an API key.
      7
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables Claude to access free official financial and economic data from SEC EDGAR, U.S. Treasury, FRED, and the World Bank, including XBRL financial statements, key metrics, filings, insider trades, 13F portfolios, market prices, and macroeconomic series.
      20
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to query cross-country macroeconomic and financial statistics, including GDP, inflation, fiscal balance, debt, exchange rates, trade, and balance-of-payments data for comparison and time-series analysis.
      423 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to retrieve Peruvian public data behind one interface, including BCRP exchange rates and statistical series, state procurement records in the Open Contracting standard, and official gazette norms with search and detail tools.
      MIT

    TDQS

    A4.1/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool targets a distinct step: search for codes (buscar_series), fetch raw time series (serie), compute statistics (resumen), and cross-country comparison (comparar_paises). The descriptions explicitly chain them (use buscar_series first, use resumen for variations), leaving no plausible misselection.

    Naming Consistency3/5

    Two tools use verb_noun (buscar_series, comparar_paises) while two are bare nouns (serie, resumen), mixing conventions within a small set. Names are still readable and Spanish-consistent, but the pattern is not predictable from one tool to the next.

    Tool Count4/5

    Four tools is a lean, well-scoped surface for a single data source, and each tool earns its place in the search→fetch→summarize→compare workflow. It is slightly thin—no bulk multi-series fetch or metadata/category listing—but not a mismatch.

    Completeness4/5

    Core lifecycle is covered: discovery, raw retrieval, aggregation, and international context, with clear dead-end avoidance via the search-first hint. Minor gaps remain—no way to fetch multiple BCRP series in one call or list available categories/frequencies directly.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues