MCP Server for Banco Central de Reserva del Perú (BCRP) Statistical API
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"mcp-bcrp","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# mcp-bcrp [](https://www.python.org/downloads/) [](https://github.com/MaykolMedrano/mcp_bcrp) [](https://pypi.org/project/mcp-bcrp/) [](https://opensource.org/licenses/MIT) [-green?style=for-the-badge&logo=jupyter)](https://github.com/MaykolMedrano/mcp_bcrp/blob/main/examples/Guia_Usuario_BCRP.ipynb) [](https://colab.research.google.com/github/MaykolMedrano/mcp_bcrp/blob/main/examples/Guia_Usuario_BCRP.ipynb) MCP Server and Python library for the **Banco Central de Reserva del Perú (BCRP)** Statistical API. Access over 5,000 macroeconomic indicators directly from your AI agent or Python environment. --- ## Table of Contents - [Overview](#overview) - [Features](#features) - [Requirements](#requirements) - [Installation](#installation) - [Configuration](#configuration) - [Usage](#usage) - [MCP Server](#as-mcp-server) - [Python Library](#as-python-library) - [Available Tools](#available-tools-mcp) - [Key Indicators](#key-indicators) - [Search Engine](#search-engine) - [Architecture](#architecture) - [Limitations and Warnings](#limitations-and-warnings) - [Contributing](#contributing) - [License](#license) - [Acknowledgments](#acknowledgments) --- ## Overview The `mcp-bcrp` package provides a standardized interface to the BCRP statistical database through the Model Context Protocol (MCP). It supports both direct Python usage and integration with AI assistants such as Claude, Gemini, and other MCP-compatible agents. The library implements: - Asynchronous HTTP client for efficient data retrieval - Deterministic se…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.