rodcar/bcrp-mcp
If you are the rightful owner of bcrp-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
BCRP-MCP is a Model Context Protocol server designed to provide access to economic and financial time series data from the Banco Central de Reserva del Perú (BCRP).
BCRP-MCP serves as a Model Context Protocol (MCP) server that facilitates seamless access to economic and financial time series data from the Banco Central de Reserva del Perú (BCRP), which is Peru's Central Reserve Bank. This server is designed to enable AI assistants and applications to efficiently search, explore, and analyze Peru's economic indicators, financial statistics, and monetary data through a standardized MCP interface. By providing a clean abstraction layer over the BCRP API, BCRP-MCP allows users to interact with the data in a structured and efficient manner. The server supports various tools and prompts that guide users in finding relevant time series data and performing financial analysis. Whether used in a local or remote setup, BCRP-MCP ensures that users have reliable access to up-to-date economic data, making it an invaluable resource for researchers, analysts, and developers interested in Peru's economic landscape.
Features
- Seamless access to BCRP economic and financial data
- Standardized MCP interface for efficient data interaction
- Supports both local and remote server setups
- Guided workflows for data search and financial analysis
- Clean abstraction layer over the BCRP API
Usages
usage with claude desktop remote
{ "mcpServers": { "bcrp_mcp_remote": { "command": "npx", "args": [ "mcp-remote", "https://bcrp-mcp.onrender.com/mcp" ] } } }
usage with claude desktop local
{ "mcpServers": { "simple_mcp": { "command": "uv", "args": [ "--directory", "/path/to/bcrp-mcp", "run", "main.py" ] } } }
usage with mcp inspector
bash npx @modelcontextprotocol/inspector \ uv \ --directory /path/to/bcrp-mcp \ run \ main.py
Tools
search_time_series_groups
Search for time series groups using one or multiple keywords
search_time_series_by_group
Find all time series within a specific group, returns code and name pairs
get_time_series_data
Retrieve time series data for a specific code within a date range