J-Quants Free MCP Server

Overview

The J‑Quants Free MCP Server bridges Claude and other AI assistants with the Japanese financial data ecosystem by exposing a curated set of tools that tap into the free tier of the J‑Quants API. For developers building finance‑centric AI workflows, this server eliminates the need to manage authentication, request formatting, or data parsing manually. By simply registering for a J‑Quants ID token and configuring the server as an MCP endpoint, developers can ask natural language queries that translate into precise data‑retrieval calls.

What Problem It Solves

Financial analysis in Japan often requires access to up‑to‑date market data, company names, and detailed financial statements. Traditional approaches involve scraping websites or purchasing expensive datasets, which are time‑consuming and error‑prone. The J‑Quants Free MCP Server offers a ready‑to‑use, low‑cost gateway that delivers the same information programmatically. It abstracts away API key handling and rate limits, allowing AI assistants to fetch data on demand without exposing credentials in user prompts.

Core Features and Capabilities

• – Accepts Japanese text (e.g., company names, sectors) and returns matching listed tickers. This is essential for turning ambiguous user requests into concrete identifiers.
• – Retrieves historical or latest daily price data for a given ticker code, enabling trend analysis and time‑series visualizations.
• – Provides full financial statements (balance sheet, income statement, cash flow) for a ticker, supporting comparative ratio calculations and portfolio health checks.

These tools are intentionally lightweight yet powerful enough for common use cases such as comparing capital ratios or generating balance‑sheet charts directly from a conversation.

Use Cases and Real‑World Scenarios

• Investment research – “Compare the equity ratios of Komeda and Luneau” triggers a search followed by statement retrieval, producing side‑by‑side insights.
• Portfolio monitoring – Regularly pull daily quotes for a watchlist and feed them into an AI‑driven dashboard.
• Financial education – Students can request a company’s financial statements and receive visual summaries without navigating multiple websites.

Integration with AI Workflows

The server registers itself as an MCP endpoint, so any Claude or compatible client can discover and invoke its tools automatically. Once a user asks a question, the AI parses intent, selects the appropriate tool (, , or ), and feeds the results back into the conversation. This seamless loop turns natural language queries into actionable data, dramatically reducing friction for developers building finance assistants.

Unique Advantages

• Zero‑cost access to a reliable Japanese market data source, thanks to the free tier of J‑Quants.
• Simplicity – No need for custom wrappers or database layers; the server handles all API interactions.
• Extensibility – The MCP architecture allows future tools (e.g., macro data, ESG scores) to be added without changing client code.

Overall, the J‑Quants Free MCP Server equips developers with a plug‑and‑play financial data bridge, enabling AI assistants to deliver timely, accurate market insights with minimal overhead.