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jquants-mcp

jquants-mcp provides command-line access to Tokyo Stock Exchange data via the official J-Quants API. It lets users search TSE-listed stocks by code or Japanese company name, retrieve daily OHLCV time series with configurable date ranges and JSON output, fetch financial summaries (revenue, profit, EP

Updated today<1 min setup

Overview

jquants-mcp provides command-line access to Tokyo Stock Exchange data via the official J-Quants API.

jquants-mcp provides command-line access to Tokyo Stock Exchange data via the official J-Quants API. It lets users search TSE-listed stocks by code or Japanese company name, retrieve daily OHLCV time series with configurable date ranges and JSON output, fetch financial summaries (revenue, profit, EPS, ROE), compare metrics across companies, and view an earnings announcement calendar. Typical use cases include programmatic backtesting, financial analysis, reporting, portfolio monitoring, and preparing earnings workflows. Key features: stock search, price history with date filters, financials endpoint, earnings calendar queries, connectivity test, and machine-readable JSON output for integration with data pipelines. Setup requires JQUANTS_MAIL_ADDRESS and JQUANTS_PASSWORD environment variables and pip install jquants-mcp. Note: data is for personal use only; redistribution is prohibited by J-Quants Terms of Service.

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How this skill works

jquants-mcp provides command-line access to Tokyo Stock Exchange data via the official J-Quants API. It lets users search TSE-listed stocks by code or Japanese company name, retrieve daily OHLCV time series with configurable date ranges and JSON output, fetch financial summaries (revenue, profit, EP

SKILL.mdALPHIO / VERIFIED

J-Quants: JPX Stock Market Data

Access Tokyo Stock Exchange (TSE) listed stock data via the official J-Quants API. Search stocks, get daily OHLCV prices, financial summaries, and earnings announcement calendar.

Important: This tool is for personal use only. Data redistribution is prohibited by J-Quants Terms of Service. https://jpx-jquants.com/termsofservice

Use Cases

  • Search for TSE-listed stocks by code or company name
  • Get daily OHLCV price data for any stock
  • Retrieve financial summaries (revenue, profit, EPS, ROE)
  • Check upcoming earnings announcement dates
  • Compare financial metrics across companies

Commands

Search stocks

# By stock code
jquants-mcp search 7203

# By company name (Japanese)
jquants-mcp search トヨタ

# JSON output
jquants-mcp search ソニー --json-output

Get stock prices

# Default: last 30 days
jquants-mcp price 7203

# With date range
jquants-mcp price 7203 --start-date 2024-01-01 --end-date 2024-12-31

# JSON output
jquants-mcp price 7203 --json-output

Get financial data

jquants-mcp financials 7203
jquants-mcp financials 6758 --json-output

Get earnings calendar

# Default: next 30 days
jquants-mcp calendar

# With date range
jquants-mcp calendar --start-date 2024-04-01 --end-date 2024-06-30

Test connectivity

jquants-mcp test

Workflow

  1. jquants-mcp search <company> → find stock code
  2. jquants-mcp price <code> → get price history
  3. jquants-mcp financials <code> → get financial data
  4. jquants-mcp calendar → check earnings dates

Setup

  • Requires JQUANTS_MAIL_ADDRESS and JQUANTS_PASSWORD environment variables
  • Free account registration: https://jpx-jquants.com/
  • Python package: pip install jquants-mcp or uv tool install jquants-mcp

Terms of Service

By using this tool, you agree to the J-Quants Terms of Service. Data is for personal use only — redistribution is prohibited.

Best used for

When to use it

jquants-mcp provides command-line access to Tokyo Stock Exchange data via the official J-Quants API. It lets users search TSE-listed stocks by code or Japanese company name, retrieve daily OHLCV time series with configurable date ranges and JSON output, fetch financial summaries (revenue, profit, EP

01 · PRE-MEETING

Prepare a decision brief

Turn scattered evidence into a structured case before an investment committee meeting.

02 · TEAM WORKFLOW

Standardize handoffs

Create consistent research outputs across analysts, portfolio managers, and agents.

03 · LIVE UPDATE

Refresh the thesis

Update scenarios after a new catalyst, KPI release, or earnings result.

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