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Open Source Software

Python, Stata, and MCP tools for economic data access and research engineering.

Official economic data is often fragmented across portals, formats, and institutions. These tools make those sources easier to use in reproducible economic research.

01

AI agent tooling

Structured access to official statistics for language models and automated research workflows.

mcp-bcrp

Exposes more than 5,000 indicators from Peru’s central bank as structured tool calls for economic analysis.

Source · PyPI

mcp-wbgapi360

Retrieves World Bank Data360 indicators asynchronously and builds consistent cross-country datasets.

Source · PyPI

mcp-sinim

Searches Chilean municipal statistics in natural language and extracts panel data for 345 municipalities.

Source · PyPI

02

Python

Clients and data pipelines for working directly with public statistical sources.

enahodata

Downloads and processes Peru’s ENAHO survey modules for poverty and labor-market research.

Source · PyPI

usebcrp

Provides programmatic access to Peru’s central-bank series for macroeconomic and national-accounts research.

Source · PyPI

usecasen

Prepares Chile’s CASEN survey data for reproducible socioeconomic and multidimensional-poverty analysis.

Source · PyPI

usebcch

Retrieves Central Bank of Chile series for economic analysis and policy monitoring.

Source

03

Stata

Utilities for acquiring, cleaning, and reporting public-sector data.

useminedu

Downloads school statistics and education-census indicators from Peru’s ESCALE platform.

Source

fixencoding

Repairs character-encoding problems across collections of legacy Stata files.

Source

siafreport

Generates public-expenditure reports from Peru’s SIAF data for budget analysis and auditing.

Source

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