bcrp-mcp
Related Servers
Alternatives to bcrp-mcp
No user-submitted related servers found.
Related Servers
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- AlicenseAqualityAmaintenanceEnables 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.10MIT
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- AlicenseNot gradedqualityBmaintenanceEnables 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 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables 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
Scored across 4 tools
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.
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.
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.
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.