BOJ: Bank of Japan Statistical Data for Openclaw

A specialized MCP skill to access and analyze Bank of Japan official statistical data and monetary policy indicators.

ajtgjmdjp
v0.1.3
Feb 16, 2026
0
2.1k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install boj-mcp

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install boj-mcp using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is BOJ: Bank of Japan Statistical Data?

The boj-mcp skill is a technical bridge designed for developers and economists to interface with the Bank of Japan official time-series statistics. It facilitates the seamless retrieval of critical economic indicators such as the Corporate Goods Price Index (CGPI), Flow of Funds, and TANKAN survey results directly into your development environment or AI agent workflow. By leveraging Openclaw Skills, users can bypass manual downloads and complex parsing, as this tool automates the fetching of public flat files from the central bank official service.

This skill is particularly valuable for financial modeling, macroeconomic research, and automated reporting. It handles the nuances of Japanese data formats, such as Shift_JIS encoding, and provides structured data output in formats like JSON. With no API key required, it provides an immediate and friction-less way to integrate Japan central bank data into any analysis pipeline powered by Openclaw Skills.

BOJ: Bank of Japan Statistical Data Use Cases

  • Track and analyze Corporate Goods Price Index (CGPI) and Services Producer Price Index (SPPI) trends.
  • Retrieve and visualize Flow of Funds data to understand financial assets and liabilities within Japan.
  • Access TANKAN survey results to gauge business sentiment and economic outlook.
  • Monitor Balance of Payments and International Investment Position statistics for global trade analysis.
  • Query historical and current interest rates and money stock statistics for monetary policy research.

How BOJ: Bank of Japan Statistical Data Works

  1. Initialize the tool to browse all available Bank of Japan flat file datasets via the datasets command.
  2. Utilize the built-in search functionality to find specific data series or keywords across various economic categories.
  3. Request data for a specific dataset identifier; the skill then fetches the official flat file from the BOJ servers.
  4. The tool automatically processes the Shift_JIS encoded files and converts them into structured, accessible data.
  5. Data is cached locally to ensure high performance and reduce redundant network requests for subsequent queries.

BOJ: Bank of Japan Statistical Data Setup

To install this skill using uv, execute the following command in your terminal:

uv tool install boj-mcp

You can then verify the connection to the data source using:

boj-mcp test

BOJ: Bank of Japan Statistical Data Data Schema & Taxonomy

The skill categorizes data based on official BOJ prefixes, organizing complex time-series into manageable datasets. Data can be retrieved in either table or JSON format.

Category Prefix Description
Prices cgpi, sppi, cspi Corporate and Services price indices
Surveys co TANKAN Short-term Economic Survey
Flow of Funds fof Financial assets and liabilities
Balance of Payments bp International transaction statistics
Money Stock md Money supply indicators
Interest Rates ir Market and policy interest rates

BOJ: Bank of Japan Statistical Data Advanced Features

  • Multi-format output support allowing for both human-readable tables and machine-readable JSON.
  • Advanced search filters to locate specific economic series within massive datasets quickly.
  • Automatic encoding management to handle legacy Shift_JIS files without developer intervention.
  • Local caching system to optimize data retrieval speeds and minimize server load.
  • Built-in integration for AI agents through the Model Context Protocol as part of the Openclaw Skills ecosystem.

SKILL.md


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