
Kabuken
io.github.Intellics-ai由 GitHub 帳號 Intellics-ai 發布v2.1.9更新於 Nov 5, 2026
Japanese EDINET XBRL facts, financials, screening. No prices. Signup required.
概覽
遠端 MCP 伺服器,讓助理取得日本上市公司的 EDINET 官方財報資料、分部資訊與大股東資料。
- 可以做什麼
- 依名稱搜尋日本上市公司,查看公司檔案與東證產業分類
- 列出公司的 EDINET 申報文件,並讀取風險因素、經營討論等原文敘述章節
- 取得結構化 XBRL 財務事實、計算樹、分部拆分與多期三大報表
- 對 2 至 5 家公司做並列比較、依財務比率篩選,並查看產業比率均值與首尾公司
- 查詢大量持股報告中的大股東,以及日本央行利率敏感度與出口管制分類
- 產生申報文件的 AI 摘要、依單一文件問答、回報資料問題並查看每日配額
- 適用情境
- 需要可溯源的日本上市公司資料時適用,例如財報、分部、股權結構或同業比較,每個數字都標明來源文件與期間。適合要求結果能回溯到官方文件的研究與篩選流程。
- 執行需求
- 遠端 streamable HTTP 端點,無需本機安裝。需要帳號:Claude 與 ChatGPT 使用 OAuth 登入,不支援 OAuth 的用戶端使用 kbk_ API 金鑰。需能連線至該託管服務。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Kabuken,將其新增到工作區。
- 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
交給代理程式安裝
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/io.github.Intellics-ai%2Fkabuken/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。
{
"mcpServers": {
"kabuken": {
"type": "http",
"url": "https://kabuken.intellics.ai/mcp"
}
}
}README
Kabuken — EDINET MCP server for Claude and ChatGPT
Kabuken is an EDINET MCP server. It gives Claude, ChatGPT and other MCP
clients the financial statements, segment breakdowns and major shareholders
of Japanese listed companies, taken from their official EDINET filings. Each
figure comes with its source filing and its period. Connect your client to
https://kabuken.intellics.ai/mcp. Kabuken returns individual XBRL facts
with taxonomy labels and calculation-linkbase trees.
Kabuken does not provide stock prices or investment advice.
KabukenはEDINET MCPサーバーです。Claude、ChatGPTなどのMCPクライアントから、
日本の上場企業がEDINETに提出した書類の財務諸表、セグメント情報、大株主を
取得できます。各数値には出典となる提出書類と対象期間を示します。接続先は
https://kabuken.intellics.ai/mcp です。株価や投資助言は提供しません。
EDINET MCP guide: English · 日本語
Signup is required. Get an account and a kbk_ API key (or use OAuth) at
kabuken.intellics.ai.
What Kabuken provides
- Source filing and period with each figure. Each value names the EDINET filing it comes from and the period it covers, so you can check it against the original document.
- Calculation trees.
get_calculation_treereturns the XBRL calculation linkbase of a filing as a tree, so you can see how a total breaks down into its components and their weights. - Segment breakdowns.
get_segment_breakdownreturns business, geographic and consolidation-scope figures by dimension axis and member. - Major shareholders.
get_major_shareholdersreturns holders, holding ratios and reporting dates from large-shareholding reports (大量保有報告書). - OAuth sign-in for Claude and ChatGPT. Claude and ChatGPT connect with OAuth sign-in, with no API key to copy. MCP clients without OAuth can connect with an API key.
- Skill pack. This repository is a plugin for Claude Code and a plugin package for ChatGPT and Codex, with skills for common tasks (company snapshot, peer comparison, segment breakdown).
Install
This plugin declares a remote MCP server in .mcp.json
(https://kabuken.intellics.ai/mcp, streamable HTTP). Enable the plugin,
then see SETUP.md or ask Claude "set up Kabuken" to
authenticate.
Claude Code without the plugin:
ChatGPT (developer mode, beta)
- Download the latest plugin package: kabuken-plugin.zip.
- Open chatgpt.com/plugins, select +, then Create custom MCP server.
- Upload the ZIP.
- Sign in with Google when ChatGPT asks you to connect Kabuken.
The same repository is also an Agent Plugins package for ChatGPT and
Codex: plugin.json and mcp.json at the root. Claude Code reads
.claude-plugin/plugin.json and .mcp.json. See
Plugin package.
Tools
Read-only tools, grouped by purpose. None write or modify data.
Company and industry discovery
search_companies— search Japanese listed companies by name (EN or JA, partial match)get_company— full company record by any identifier (entity code, ticker, name)list_industries— TSE industry classification taxonomy
Filings
list_documents— EDINET filing list for a company, with submission dates, period coverage, and XBRL/PDF availabilityget_filing_text— narrative sections of an annual securities report (risk factors, management discussion) as filed, in Japanese, without AI processing
Financial facts
get_financial_facts— structured XBRL facts for a single filingget_calculation_tree— XBRL calculation linkbase as a tree (how totals decompose into components)get_segment_breakdown— segment/geography/consolidation-scope dimensional data, axis and member labelsget_company_financials— multi-period income statement, balance sheet, and cash flow, grouped by statement type
Comparison and screening
compare_companies— side-by-side financial matrix for 2-5 companies from their latest annual securities reportscreen_companies— filter companies by financial ratio (ROE, ROA, operating margin, current ratio, debt-to-equity); no price-based screensget_industry_overview— mean/median/count per ratio for an industry, plus top/bottom 3 companies
Ownership and risk
get_major_shareholders— large-shareholding report (大量保有報告書) data: holder, percentage, shares, filing dateget_risk_context— BOJ policy-rate sensitivity and METI export-control classification for a company
AI-powered analysis
get_document_summary— AI-generated summary of a filinganalyze_document— free-text Q&A grounded in a specific filing
Data quality
report_data_issue— report a figure that looks wrong, with the filing it came from
Account
get_account_quota— caller's current daily quota usage, limit, and reset time; does not itself consume quota
Account
Get an account and a kbk_ API key (or use OAuth) at
kabuken.intellics.ai. See
SETUP.md for the connection walkthrough.
Slash commands
/kabuken:company-snapshot <company>— revenue, income, assets, equity, and risk context for one company/kabuken:peer-comparison <company, company, ...>— side-by-side financials for 2-5 companies/kabuken:segment-breakdown <company>— business/geographic segment breakdown for a filing
The filing-text skill loads when you ask for risk factors, management discussion or the original filing text; it reads them as filed with get_filing_text.
Attribution
EDINET content (filings, facts, dimensions) is used under Japan's Public Data License 1.0 (PDL 1.0):
Source: EDINET (https://disclosure2.edinet-fsa.go.jp/), PDL 1.0 (https://www.digital.go.jp/resources/open_data/public_data_license_v1.0). Data is processed by Kabuken, not raw unprocessed FSA data.
The EDINET Taxonomy (concept labels, calculation-linkbase relationships,
dimension axis/member labels) is excluded from PDL 1.0 and separately
licensed under the FSA EDINET Taxonomy Legal Statement
(https://www.fsa.go.jp/search/EDINET_Taxonomy_Legal_Statement.html), which
requires the notice "© Copyright 2014 Financial Services Agency, The
Japanese Government" on redistribution. Tools that surface taxonomy content
(get_calculation_tree, get_segment_breakdown) carry this notice.
Figures returned by screen_companies, get_industry_overview,
compare_companies, and get_company_financials are calculated by Kabuken
from EDINET filings, not reported directly by EDINET. Text from
get_filing_text is reproduced verbatim from the filing; the filing company
holds the rights to its text. Output from
analyze_document is AI-generated and may contain errors; it is not
investment advice.
Privacy policy
https://kabuken.intellics.ai/privacy
Documentation
https://kabuken.intellics.ai/docs
Plugin package
scripts/build-package.sh builds dist/kabuken-plugin-<version>.zip with
plugin.json at the ZIP root, plus mcp.json, skills/ (without the
Claude Code-only kabuken-setup skill), assets/ and LICENSE.
README.md is not packaged. scripts/validate-package.sh checks the
manifests, skills, README and SETUP.md, and scripts/tests/run-tests.sh tests those
checks.
The Plugin package workflow runs both on every pull request and push to
main, and attaches the ZIP to a GitHub release when a v* tag is pushed.
The tag must match the version in plugin.json.
Versioning
One version number covers the Claude plugin (.claude-plugin/plugin.json),
the ChatGPT/Codex package (plugin.json) and the MCP Registry entry
(server.json). scripts/validate-package.sh fails if the three differ.
To release: bump all three to the same X.Y.Z, merge to main, push tag
vX.Y.Z, then run the Publish to MCP Registry workflow manually from
that tag. The workflow refuses to publish unless tag v<server.json version>
is on the checked-out commit.
Registry manifest
server.json describes the hosted Kabuken MCP server (https://kabuken.intellics.ai/mcp)
in the official MCP registry format and is
published from this repo under the io.github.intellics-ai/kabuken namespace. The server's
own source runs in a separate, private repository; this public repo is the registry's
companion listing and the home for the plugin package documented above. Publishing runs via
.github/workflows/publish-registry.yml (manual workflow_dispatch, GitHub OIDC
authentication, no stored secrets).
來源:README.md,提交 c3c135d
工具
0版本歷史
8- v2.1.9最新Nov 5, 2026
- v2.1.6Oct 23, 2026
- v2.1.5Oct 22, 2026
- v2.1.4Oct 18, 2026
- v2.1.3Oct 8, 2026
- v2.1.2Oct 6, 2026
- v2.1.0Oct 5, 2026
- v2.0.1Sep 23, 2026
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