How can AI agents or applications use BCRP-MCP?

BCRP-MCP offers a standardized MCP interface, allowing AI agents and applications to programmatically search, explore, retrieve, and analyze BCRP data for purposes like financial analysis and automated reporting.

What are the core functionalities of BCRP-MCP?

Key functionalities include keyword-based search for time series groups, discovery of all series within a group, retrieval of detailed data for specific date ranges, and guided workflows for efficient financial data analysis.

BCRP-MCP is a Model Context Protocol (MCP) server that provides standardized, seamless access to economic and financial time series data directly from the Central Reserve Bank of Peru (BCRP).

What types of data can I access through BCRP-MCP?

You can access a wide range of Peruvian economic indicators, financial statistics, and monetary data, organized as time series, directly from the BCRP's official sources.

BCRP

Name: BCRP
Author: rodcar

byrodcar

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개발자 도구

데이터 과학 및 ML

분석 및 모니터링

Provides seamless access to economic and financial time series data from the Central Reserve Bank of Peru (BCRP) via a standardized Model Context Protocol interface.

BCRP is a Model Context Protocol (MCP) server designed to offer convenient access to comprehensive economic and financial time series data directly from the Banco Central de Reserva del Perú (BCRP). It empowers AI agents and various applications to efficiently search, explore, and analyze Peru's vital economic indicators, financial statistics, and monetary data through a unified and standardized MCP interface, streamlining data integration and analysis workflows.

주요 기능

01Discover all time series within a specific group, returning codes and names

02Retrieve detailed time series data for a given code within a specified date range

03Search for economic and financial time series groups by keywords

04Guided workflow to find relevant time series data using keyword search

053 GitHub stars

06Financial analysis workflow to extract keywords, search data, and answer questions

사용 사례

01Integrating BCRP financial statistics into applications requiring time series analysis

02Enabling AI agents to programmatically access and analyze Peruvian economic data

03Automating the retrieval and interpretation of monetary data for research or reporting