J-Quants MCP

Name: J-Quants MCP
Author: shigechika

by shigechikaversion 1.5.2i★ 3iRuns on your computer

Registry nameio.github.shigechika/jquants-mcp

How to install

Overview

Description from the maker (original English)

MCP server for retrieving Japanese stock market data via J-Quants API v2

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Accounting, finance & tax

Install

Pick the AI app you use, then copy the settings.

Passed 2/2 checks · Runs on your computer

First: which AI do you use?

ClaudeWeb · app · phoneChatGPTWebClaude CodeTerminalCursorCode editorVS CodeCode editorOtherOther apps

Pick your app and the steps appear below.

Works with Claude, with some setup first

Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone

Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the Python (uv) download page ↗
Done
Open the Claude desktop app’s settings file
SettingsDeveloperEdit Config
Done

Paste these settings and save the file

{
  "mcpServers": {
    "jquants": {
      "command": "uvx",
      "args": [
        "jquants-mcp"
      ]
    }
  }
}

Done

Quit Claude and open it again
Done
Try it
Use J-Quants MCP and tell me what you can do for me, then show me one thing
✓ If Claude says it is using J-Quants MCP or shows a J-Quants MCP tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

ChatGPT cannot connect J-Quants MCP yet

J-Quants MCP runs on your computer, but ChatGPT can only connect servers that run on the web

What you can do instead

A · Use an app that can connect J-Quants MCP

Steps for Claude →Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
Steps for Claude Code →Install Python (uv) on your computer first (one time)
Steps for Cursor →Install Python (uv) on your computer first (one time)
Steps for VS Code →Install Python (uv) on your computer first (one time)

B · Others in Accounting, finance & tax that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Finance Toolkit✓ ChatGPT
SolidInvoice✓ ChatGPT
Finlab AI✓ ChatGPT

Works with Claude Code, with some setup first

Install Python (uv) on your computer first (one time)

Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the Python (uv) download page ↗
Done
Open Terminal
Mac: press Command+Space and type Terminal · Windows: open PowerShell
Done
3
Paste this command and press Enter
```
claude mcp add jquants -- uvx jquants-mcp
```
Done
Type /mcp in Claude Code
You should see J-Quants MCP listed as connected
Done
Try it
Use J-Quants MCP and tell me what you can do for me, then show me one thing
✓ If Claude Code says it is using J-Quants MCP or shows a J-Quants MCP tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor, with some setup first

Install Python (uv) on your computer first (one time)

Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the Python (uv) download page ↗
Done
Click this button to open Cursor
Open in Cursor
Cursor asks you to confirm; click Install
Done
Open the AI chat in Cursor in Agent mode
Done
Try it
Use J-Quants MCP and tell me what you can do for me, then show me one thing
✓ If Cursor says it is using J-Quants MCP or shows a J-Quants MCP tool in the answer, you are connected

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code, with some setup first

Install Python (uv) on your computer first (one time)

Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the Python (uv) download page ↗
Done
Click this button to open VS Code
Open in VS Code
VS Code asks you to confirm; click Install
Done
Open the AI chat in VS Code in Agent mode
Done
Try it
Use J-Quants MCP and tell me what you can do for me, then show me one thing
✓ If VS Code says it is using J-Quants MCP or shows a J-Quants MCP tool in the answer, you are connected

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use J-Quants MCP💬 Discussion →

For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add jquants -- uvx jquants-mcp

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "jquants": {
      "command": "uvx",
      "args": [
        "jquants-mcp"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "jquants": {
      "command": "uvx",
      "args": [
        "jquants-mcp"
      ]
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "jquants": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "jquants-mcp"
      ]
    }
  }
}

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

GitHub stars i: 3
Downloads per weeki: 171/wk
Licence i: No licence stated
Connection: Runs on your computer
Transport: stdio
Latest versioni: 1.5.2
Categoryi: Accounting, finance & tax
Published to registryi: Oct 26, 2026
Code last changedi: Oct 26, 2026
Maker: shigechika
Packages: pypi: jquants-mcp
Repo: shigechika/jquants-mcp
Registry status: Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

Claude Goose LM Studio Msty Studio Cherry Studio Cursor VS Code + GitHub Copilot Visual Studio Windsurf (Devin Desktop)Zed Kiro Cline Continue JetBrains AI Assistant Claude Code Codex CLI Gemini CLI OpenCode nodecode Warp LibreChat Raycast

All apps, with pros and cons →

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 11, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account shigechika, which owns the repo
✓ Pass
Still maintained
Code last changed 16 days ago
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

User reviews

No reviews yet

Compared with others in Accounting, finance & taxi

More stars than 94% of the other 3128 servers in this category
Published to the registry more recently than 64% of the other 3128 servers in this category
Basic checks equal to or better than 100% of the other 3128 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is J-Quants MCP safe?

It passed 2 of 2 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed 16 days ago, and the latest version (1.5.2) reached the registry 16 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: CCXT, Finance Toolkit, AKQuant

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

CCXT

Official CCXT MCP server - Market data and trading across 100+ exchanges and prediction markets

by ccxtWidely used↓ 667/wk★ 44.9KUpdated 2 months ago

Runs on your computer

Install

Finance Toolkit

500+ transparent financial methods calculated from raw statements, not third-party endpoints.

by JerBoumaWidely used↓ 15.6K/wk★ 5.5KUpdated 2 days ago

Computer or cloud

Install

AKQuant

Write and backtest trading strategies with AKQuant: API lookup, strategy checks, backtest runs

by akfamilyWidely used↓ 3.3K/wk★ 2.6KUpdated today

Runs on your computer

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

jquants-mcp

English | 日本語

An MCP (Model Context Protocol) server that retrieves Japanese stock market data via J-Quants API v2.

User-facing documentation site: https://shigechika.github.io/jquants-mcp/ (also available in 日本語) — start there if you want a gentler 5-minute introduction. This README is the technical reference (config schema, all 55 tools with parameter tables, deployment).

Release history and changelog: GitHub Releases.

Deployment shapes and how to pick between them: see docs/deploy/.

Demo

24-second loop showing real output from the Claude iPhone app calling jquants-mcp tools:

Sector performance ranking (業種別騰落率) — get_sector_performance
Top turnover by trading value (売買代金ランキング) — get_top_turnover_value
Candlestick chart with SMA — get_candlestick_data
Quarterly financial summary (決算ダイジェスト) — get_fins_summary
5-stock return comparison — get_comparison_chart_data

Individual frames are in docs/screenshots/.

Features

55 MCP tools — 22 J-Quants API v2 endpoints, 11 market overview + valuation, 10 offline screener, 1 technical indicators, 1 single-stock summary, 3 cache-only equity search + earnings (schedule + results), 2 chart tools (JSON, no optional dependencies), and 5 server utilities
Two-tier SQLite cache — row-level cache for time-series data, response-level cache with TTL for others
Stock split detection — automatic cache invalidation when AdjFactor changes
Rate limiting — plan-aware sliding window (Free: 5/min, Light: 60, Standard: 120, Premium: 500)
Retry with backoff — automatic retry for 429/5xx errors
Pagination — transparent multi-page fetching
Plan-aware — all tools registered regardless of plan; graceful error messages on restriction

Requirements

Python 3.10+
J-Quants API key (Free plan or above)

Installation

# Using uv (recommended)

uv pip install jquants-mcp

Using pip

pip install jquants-mcp

From source

git clone https://github.com/shigechika/jquants-mcp.git

cd jquants-mcp uv sync --dev

Configuration

Settings are loaded with the following priority (later wins):

~/.jquants-api/jquants-api.toml — API key only (J-Quants official config)
~/.config/jquants-mcp/config.ini (user global)
./config.ini (current directory)
Environment variables (from MCP client or shell)

API Key (zero-config)

If you already use jquants-api-client, your API key is automatically read from ~/.jquants-api/jquants-api.toml. No extra configuration needed.

API Key via browser login

jquants-mcp login

Opens a browser to J-Quants (AWS Cognito, PKCE flow), and on success writes the API key to ~/.config/jquants-mcp/config.ini (mode 0600). Same auth backend as the official jquants-cli. Use jquants-mcp logout to clear the saved key.

config.ini

MCP-specific settings (cache, client behavior):

[jquants]

cache_dir = ~/.cache/jquants-mcp

base_url = https://api.jquants.com/v2

[client]

max_retries = 5

retry_base_delay = 1.0

max_pages = 10

[server]

encryption_key = # enables per-user API key storage (multi-user mode)

allowed_emails = alice@example.com,bob@example.com

Environment Variables

Variable	Required	Default	Description
`JQUANTS_API_KEY`	No*	—	J-Quants API key
`JQUANTS_API_TOML_PATH`	No	`~/.jquants-api/jquants-api.toml`	Path to the J-Quants official config file. Override to avoid macOS 26+ launchd sandbox restrictions (see macOS launchd note below)
`JQUANTS_PLAN`	No	auto-detect	Plan: `free` / `light` / `standard` / `premium` (auto-detected from the API key at server startup; set this variable only to override)
`JQUANTS_CACHE_DIR`	No	`~/.cache/jquants-mcp`	Cache directory path
`JQUANTS_BASE_URL`	No	`https://api.jquants.com/v2`	API base URL
`MAX_RETRIES`	No	`5`	Max retry attempts for failed requests
`RETRY_BASE_DELAY`	No	`1.0`	Base delay (seconds) for exponential backoff
`MAX_PAGES`	No	`10`	Max pages to fetch per paginated request
`JQUANTS_MCP_USER`	No	—	Identity of the authenticated user, injected by the gateway (see Authentication). Never set this by hand
`MCP_ENCRYPTION_KEY`	No	—	Passphrase for AES-256-GCM encryption of per-user API keys
`MCP_ENCRYPTION_KEY_PREVIOUS`	No	—	Previous encryption passphrase — enables dual-key decrypt during a rotation window. See secrets rotation runbook
`RATE_LIMIT_PER_MINUTE`	No	`60`	Per-user request ceiling (multi-user mode). Applies per `JQUANTS_MCP_USER` identity
`RATE_LIMIT_BURST`	No	`20`	Per-user burst allowance (token-bucket capacity)
`JQUANTS_ALLOWED_EMAILS`	No	—	Comma-separated allowlist of emails. Empty = allow any user the gateway authenticated (self-host default). Set this on public Cloud Run instances to restrict access; unauthorized users get a 403-style message pointing them to self-host

\* API key is auto-detected from ~/.jquants-api/jquants-api.toml. Set JQUANTS_API_KEY only to override.

Environment variables override both config.ini and jquants-api.toml. This allows MCP clients (Claude Desktop, Claude Code, Codex, …) to pass settings via their env block while keeping defaults elsewhere.

macOS launchd note

If you run jquants-mcp as a macOS LaunchAgent and the API key lives in ~/.jquants-api/jquants-api.toml, the server may silently hang during startup on macOS 26 or later. The TCC sandbox applied to launchd-spawned processes blocks open() on some dotfiles under $HOME (mode 600), and the process never finishes starting.

Workaround: copy the toml outside the sandboxed home hierarchy and point the server at it via JQUANTS_API_TOML_PATH:

sudo mkdir -p /usr/local/etc/jquants-mcp

sudo cp ~/.jquants-api/jquants-api.toml /usr/local/etc/jquants-mcp/jquants-api.toml sudo chown "$USER":staff /usr/local/etc/jquants-mcp/jquants-api.toml sudo chmod 600 /usr/local/etc/jquants-mcp/jquants-api.toml

Then add the following to your LaunchAgent plist's EnvironmentVariables dict:

<key>JQUANTS_API_TOML_PATH</key>

/usr/local/etc/jquants-mcp/jquants-api.toml

Alternatives: set JQUANTS_API_KEY directly in the plist (simpler but puts the key in a plist file that Time Machine / iCloud may back up), or put api_key = directly in ~/.config/jquants-mcp/config.ini (if that path is not sandbox-blocked on your macOS version).

Linux/systemd and other init systems are not affected.

Authentication

The server speaks stdio only and binds no network socket, so it performs no authentication of its own — there is no listener to authenticate against. Access control is a property of whoever starts the process:

Deployment	Who controls access
Local (Claude Code, Claude Desktop, Codex, …)	The OS. The MCP client spawns the server as a subprocess; the API key comes from `config.ini` / `jquants-api.toml` / `JQUANTS_API_KEY`
Remote	A gateway in front of the server. The gateway terminates authentication and spawns the stdio server per session

Gateway identity

For remote or multi-user deployments, put a gateway in front of the stdio server. mcp-stdio serve is the gateway both production deployments use: it accepts MCP over HTTP, authenticates the caller, and spawns one jquants-mcp child process per session.

The gateway passes the authenticated identity down to that child as the JQUANTS_MCP_USER environment variable (mcp-stdio serve --trusted-user-header X-Forwarded-Email --user-env JQUANTS_MCP_USER). One child process serves exactly one principal for its whole lifetime, and the server reads JQUANTS_MCP_USER as that principal's verified email — it applies the JQUANTS_ALLOWED_EMAILS allowlist and per-user rate limits to it, and looks up that user's stored API key.

Trust model: JQUANTS_MCP_USER is trusted as-is; the server does no verification of its own. Whoever can set the child process's environment *is* that user, so the variable must be injected by the gateway and never by a user-supplied value.

When JQUANTS_MCP_USER is absent — the normal local case — the server runs single-user against the globally configured API key.

A worked example of the whole shape (auth proxy in front, gateway, stdio child, cache download) is scripts/entrypoint-stdio.sh, the entrypoint of the Cloud Run deployment described below. There is no other documented remote-access story: the server itself has no transport, TLS, or token options.

Multi-user Mode

When the server receives a gateway identity (JQUANTS_MCP_USER, see Authentication) and MCP_ENCRYPTION_KEY is configured, it operates in multi-user mode: each user stores their own J-Quants API key on the server, and all data tools use that key automatically. All users share the read cache; each user gets an independent J-Quants client with isolated rate limiting and their own plan's date-range window.

User flow

sequenceDiagram

participant U as User participant C as MCP client participant G as Gateway (mcp-stdio serve) participant S as jquants-mcp (stdio child) participant J as J-Quants API U->>C: Connect C->>G: Authenticate (gateway's own auth layer) G->>S: Spawn child with JQUANTS_MCP_USER = verified email U->>C: "Register my J-Quants API key: " C->>G: register_api_key(api_key=" ") G->>S: forward over stdio S->>J: Probe plan-specific endpoints (auto-detect) J-->>S: Detected plan S->>S: Encrypt & store key + plan (AES-256-GCM) S-->>C: {"status": "ok", "plan": " "} U->>C: "Get TOPIX daily prices" C->>S: get_indices_bars_daily_topix(...) S->>J: API call with user's key J-->>S: Data S-->>C: Result

Tools for multi-user mode

Tool	Required	Description
`register_api_key`	`JQUANTS_MCP_USER` + `MCP_ENCRYPTION_KEY`	Encrypt and store your J-Quants API key
`delete_api_key`	`JQUANTS_MCP_USER` + `MCP_ENCRYPTION_KEY`	Remove your stored key

Both tools return an explanatory error instead of failing silently when either requirement is missing.

Registering a key (tell your AI agent):

"Register my J-Quants API key: "

The agent calls register_api_key(api_key="..."). The server probes plan-specific endpoints with the key to auto-detect the plan (free / light / standard / premium) and stores it alongside the encrypted key — no manual selection needed. Subsequent tool calls use the detected plan for rate limiting and date-range restrictions.

This is the only way to register a key on a multi-user deployment; the server exposes no web form and no HTTP endpoint of any kind.

Security

API keys are encrypted with AES-256-GCM (authenticated encryption — integrity-protected)
The encryption key is derived via PBKDF2-HMAC-SHA256 (200,000 iterations) from MCP_ENCRYPTION_KEY, with a random 16-byte salt per encryption
Each ciphertext uses a unique random 12-byte nonce — encrypting t

Only the beginning is shown; read the rest in the repo

J-Quants MCP

Overview

What you can do with it

Install

Install Python (uv)

Open the Claude desktop app’s settings file

Paste these settings and save the file

Quit Claude and open it again

Try it

What you can do instead

Install Python (uv)

Open Terminal

Paste this command and press Enter

Type /mcp in Claude Code

Try it

Install Python (uv)

Click this button to open Cursor

Open the AI chat in Cursor in Agent mode

Try it

Install Python (uv)

Click this button to open VS Code

Open the AI chat in VS Code in Agent mode

Try it

Installed on your computer

At a glance

Which apps can use it

Related guides

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Discussion

User reviews

Compared with others in Accounting, finance & taxi

Common questions

Alternatives

CCXT

Finance Toolkit

AKQuant

README from the maker

jquants-mcp

Demo

Features

Requirements

Installation

Using pip

From source

Configuration

API Key (zero-config)

API Key via browser login

config.ini

cache_dir = ~/.cache/jquants-mcp

base_url = https://api.jquants.com/v2

max_retries = 5

retry_base_delay = 1.0

max_pages = 10

encryption_key = # enables per-user API key storage (multi-user mode)

allowed_emails = alice@example.com,bob@example.com

Environment Variables

macOS launchd note

Authentication

Gateway identity

Multi-user Mode

User flow

Tools for multi-user mode

Security