Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Japan market intelligence — 22 MCP tools, 10 government/exchange data sources
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
JAPAN_INTELLIGENCE_API_URL, JI_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"transcode": {
"command": "npx",
"args": [
"-y",
"transcode-mcp-server"
],
"env": {
"JAPAN_INTELLIGENCE_API_URL": "your-value",
"JI_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add transcode --env JAPAN_INTELLIGENCE_API_URL=your-value --env JI_API_KEY=your-value -- npx -y transcode-mcp-serverFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"transcode": {
"command": "npx",
"args": [
"-y",
"transcode-mcp-server"
],
"env": {
"JAPAN_INTELLIGENCE_API_URL": "your-value",
"JI_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"transcode": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"transcode-mcp-server"
],
"env": {
"JAPAN_INTELLIGENCE_API_URL": "your-value",
"JI_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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 7, 2026
The registry name was verified with the GitHub account hiroshic9-png, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 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.
You need to fill in: JAPAN_INTELLIGENCE_API_URL, JI_API_KEY
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).
The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 6 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, FactLot
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Cited CRE facts and deterministic calculators for agents: rent, CAM, debt sizing, IRR, parcel IDs.
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.
AIエージェントのための日本市場インテリジェンス基盤
Japan Intelligence は、日本の公開情報を構造化し、AIエージェントが即座に利用可能な形式で提供するAPIプラットフォームです。14のデータソースを横断統合し、企業分析・マクロ経済・金融政策・環境災害を49エンドポイント + 27 MCPツールで完結させます。
🎯 1つのAPIキーで日本の全て — 適時開示、機関投資家の持分変動、500万法人のデータベース、政府統計10系列、株価ヒストリカル、日銀短観、投資部門別売買動向、日米金融政策、天気予報、地震データ、経済カレンダー、AI解釈を統合提供
┌──────────────────────────────────────────────────────────────────┐
│ AI Agent (Claude, Cursor, etc.) │ │ ↓ MCP (22 tools) │ │ ┌──────────────────────────────┐ │ │ │ MCP Server (22 tools) │ │ │ └──────────────┬───────────────┘ │ │ ↓ REST API (35 endpoints) │ │ ┌──────────────────────────────────────────────────────────┐ │ │ │ Japan Intelligence API (FastAPI) │ │ │ │ │ │ │ │ Layer 2: AI Interpretation (Gemini 2.5 Flash) │ │ │ │ Layer 1: Structured Data + Cache-Control (per-source) │ │ │ │ │ │ │ │ ┌─────┐ ┌──────┐ ┌────────┐ ┌──────┐ ┌────────┐ │ │ │ │ │TDnet│ │EDINET│ │gBizINFO│ │e-Stat│ │J-Quants│ │ │ │ │ └─────┘ └──────┘ └────────┘ └──────┘ └────────┘ │ │ │ │ ┌────┐ ┌───┐ ┌───┐ ┌─────┐ ┌───────────┐ │ │ │ │ │FRED│ │BOJ│ │JPX│ │Macro│ │Interpreter│ │ │ │ │ └────┘ └───┘ └───┘ └─────┘ └───────────┘ │ │ │ └──────────────────────────────────────────────────────────┘ │ └──────────────────────────────────────────────────────────────────┘
| # | Source | Data | Coverage |
|---|---|---|---|
| 1 | TDnet | 適時開示 — 業績修正、M&A、自社株買い、配当等15カテゴリ自動分類 | 全上場企業 |
| 2 | EDINET | 大量保有報告書 — 機関投資家の持分変動(5%超) | 全上場企業 |
| 3 | gBizINFO | 企業情報 — 補助金、認定、特許、財務、調達 | 500万法人 |
| 4 | e-Stat | 政府統計10系列 — GDP、CPI、失業率、鉱工業生産、小売、景気ウォッチャー、家計調査、貿易統計 | 日本経済全体 |
| 5 | J-Quants | 市場データ — 全銘柄マスタ、決算、財務、株価ヒストリカル(OHLCV + 移動平均)、セクター分析 | 全上場銘柄 |
| 6 | FRED | 日米マクロ — 金利、CPI、雇用、為替、VIX(10系列) | 米国+日本 |
| 7 | BOJ | 日銀短観 — 業況判断DI(大企業/中小×製造業/非製造業+設備投資計画) | 四半期更新 |
| 8 | JPX | 投資部門別売買動向 — 外国人、個人、信託銀行、事業法人(9部門構造化) | 週次 |
| 9 | Macro | リアルタイム指標 — 原油、金、ドル円、VIX、日経、S&P + 異常変動検知 | 6指標 |
| 10 | AI | Gemini 2.5 Flash による構造化データ解釈(Layer 2) | 全データ |
| 11 | The社史 | 上場企業253社の創業〜現在の社歴 | 主要上場企業 |
| 12 | Open-Meteo | 天気予報(JMAモデル) — 8主要都市 + ビジネスインパクト判定 | 東京〜那覇 |
| 13 | USGS | 地震データ — 日本周辺M3+、セクター影響分析、津波警報 | 日本全域 |
| 14 | Calendar | 経済カレンダー — BOJ会合、短観、GDP、CPI、決算、休場日 | 2026年 |
# 日本全体ブリーフィング(朝の第一手)★
GET /api/v1/briefing
GET /api/v1/intelligence/{ticker}
GET /api/v1/market/snapshot
GET /api/v1/disclosures/stats
GET /api/v1/company/{id} # 企業プロフィール
GET /api/v1/company/{id}/patents # 特許ポートフォリオ GET /api/v1/company/{id}/subsidies # 補助金実績 GET /api/v1/company/{id}/certifications # 認定情報 GET /api/v1/company/{id}/finance # 財務データ GET /api/v1/company/search?name=ソニー # 企業名検索 GET /api/v1/disclosures # 適時開示一覧 GET /api/v1/disclosures/{ticker} # 銘柄別開示 GET /api/v1/holdings # 大量保有報告 GET /api/v1/holdings/{ticker} # 銘柄別大量保有
GET /api/v1/financials/{ticker} # 財務サマリー(売上・利益・EPS・予想)
GET /api/v1/stocks # 全上場銘柄マスタ GET /api/v1/earnings # 決算カレンダー GET /api/v1/prices/{ticker} # 株価ヒストリカル(OHLCV + MA5/25/75 + 騰落率)★NEW GET /api/v1/sectors # セクター分析(17/33業種 + 市場区分別構成)★NEW
GET /api/v1/stats/series # 利用可能統計系列一覧
GET /api/v1/stats/summary # マクロ統計サマリー(1コール) GET /api/v1/stats/{series_id} # 個別統計(gdp, cpi, unemployment等10系列) GET /api/v1/stats/search/{kw} # 統計検索 GET /api/v1/global/series # FRED系列一覧 GET /api/v1/global/policy # 日米金融政策サマリー(1コール) GET /api/v1/global/{series_key} # FRED個別系列 GET /api/v1/tankan # 日銀短観サマリー GET /api/v1/tankan/{series_id} # 短観個別系列 GET /api/v1/tankan/series/list # 短観系列一覧 GET /api/v1/investor-flows # 投資部門別売買動向(9部門構造化)
GET /api/v1/macro # マクロ6指標
GET /api/v1/macro/events # 異常変動検知 + 恩恵/逆風銘柄 POST /api/v1/interpret # AI解釈(Layer 2) GET /api/v1/ticker/{ticker} # 銘柄名解決 GET /api/v1/health # ヘルスチェック
GET /api/v1/weather # 日本8都市の天気予報(ビジネスインパクト判定付き)
GET /api/v1/weather/cities # 利用可能な都市一覧 GET /api/v1/earthquakes # 日本周辺の地震データ(セクター影響分析付き) GET /api/v1/calendar # 経済カレンダー(BOJ会合・短観・GDP・CPI・決算・休場日) GET /api/v1/calendar/holidays # 東証休場日 GET /api/v1/calendar/categories # カレンダーカテゴリ一覧
ソース特性別に最適化されたHTTPキャッシュ:
| Source | Cache-Control max-age | 理由 |
|---|---|---|
| TDnet | 5分 | リアルタイム性重視 |
| Macro | 5分 | リアルタイム性重視 |
| Intelligence | 10分 | 複合ソース |
| FRED | 1時間 | 高頻度参照 |
| e-Stat | 6時間 | 月次更新 |
| BOJ | 6時間 | 四半期更新 |
| EDINET | 6時間 | 日次更新 |
| J-Quants | 12時間 | 日次更新 |
| JPX | 12時間 | 週次更新 |
| gBizINFO | 24時間 | 低頻度更新 |
ETag対応(304 Not Modified)、stale-while-revalidate対応。
All endpoints (except /docs, /redoc, /health) require API key authentication:
# Header authentication (recommended)
curl -H "X-API-Key: YOUR_API_KEY" https://japan-intelligence-api.onrender.com/api/v1/briefing
curl -H "Authorization: Bearer YOUR_API_KEY" https://japan-intelligence-api.onrender.com/api/v1/briefing
curl "https://japan-intelligence-api.onrender.com/api/v1/briefing?api_key=YOUR_API_KEY"
Rate limit: 100 requests/hour per API key (X-RateLimit-Limit/Remaining headers).
| Category | Tool | Description |
|---|---|---|
| Intelligence | japan_briefing | 🌟 Daily briefing — market, policy, tankan, sentiment, investor flows |
market_snapshot | Market overview — macro + events + disclosures + investor flows + sectors | |
company_intelligence | 🌟 Cross-source 6-axis company analysis (profile + financials + stock price + disclosures + holdings + macro) | |
disclosure_stats | Disclosure statistics — sentiment gauge | |
| Market | get_disclosures | TDnet corporate disclosures with impact assessment |
get_macro | 6 key macro indicators (Nikkei, USD/JPY, VIX, etc.) | |
detect_events | Macro anomaly detection with stock mapping | |
| Company | company_profile | gBizINFO full company data (patents, subsidies, etc.) |
company_search | Search 5M+ corporations | |
financials | J-Quants financial statements with forecasts | |
listed_stocks | All listed stocks master | |
earnings_calendar | Upcoming earnings dates | |
stock_prices | 🆕 Stock price history with MA5/25/75 + daily/weekly/monthly changes | |
sector_summary | 🆕 Market structure — 17/33 sector classifications + market segment distribution | |
| Economics | government_stats | e-Stat 10 series (GDP, CPI, economy watchers, trade, etc.) |
stats_summary | Macro statistics summary (1 call) | |
global_macro | FRED US + Japan macro (rates, CPI, FX, VIX) | |
policy_summary | US-Japan monetary policy summary (1 call) | |
tankan | BOJ Tankan business sentiment DI | |
investor_flows | JPX weekly investor flow data (9 categories with directional signals) | |
| Utility | lookup_ticker | Ticker → company name resolution |
interpret | AI interpretation (Layer 2, Gemini 2.5) |
{
"mcpServers": { "japan-intelligence": { "command": "node", "args": ["/path/to/mcp-server/dist/index.js"], "env": { "JAPAN_INTELLIGENCE_API_URL": "https://japan-intelligence-api.onrender.com", "JI_API_KEY": "YOUR_API_KEY" } } } }
from integrations.transcode_langchain import get_transcode_tools
from langchain_openai import ChatOpenAI from langgraph.prebuilt import create_react_agent
tools = get_transcode_tools(api_key="your-api-key") llm = ChatOpenAI(model="gpt-4o") agent = create_react_agent(llm, tools)
result = agent.invoke({ "messages": [("user", "What's happening in Japanese markets today?")] })
11 tools: japan_briefing, company_intelligence, market_snapshot, disclosures, ai_summarized_disclosures, holdings, investor_flows, macro_events, tankan_summary, economic_calendar, batch_intelligence
from integrations.transcode_crewai import TranscodeTools
from crewai import Agent, Task, Crew
tools = TranscodeTools(api_key="your-api-key")
analyst = Agent( role="Japan Market Analyst", goal="Analyze Japanese market conditions and identify opportunities", tools=tools.all(), # 9 tools, or tools.core() for 4 essentials )
task = Task( description="Create a morning briefing on Japanese markets", expected_output="Structured market report with key takeaways", agent=analyst, )
crew = Crew(agents=[analyst], tasks=[task]) result = crew.kickoff()
from integrations.transcode_langchain import TranscodeClient
client = TranscodeClient(api_key="your-api-key") briefing = client.briefing() intel = client.intelligence("7203") # Toyota
# Multi-ticker intelligence
POST /api/v1/batch/intelligence {"tickers": ["7203", "6501", "9984"]}
POST /api/v1/batch/disclosures {"tickers": ["7203", "6501"], "days": 3}
POST /api/v1/batch/tickers {"tickers": ["7203", "6501", "9984"]}
# English AI summaries + impact scoring for all disclosures
GET /api/v1/disclosures/summarized?days=3&min_impact=3
Returns:
{
"ai_summary": { "summary_en": "Share buyback announced by Toyota, signals undervaluation view", "impact_score": 4, "sector_relevance": "Automotive, Manufacturing", "source": "gemini" } }
GET /api/v1/telemetry/today # Today's API usage stats
GET /api/v1/telemetry/history # Historical usage (7 days default)
# 1. Clone
git clone https://github.com/hiroshic9-png/japan-intelligence-api.git cd japan-intelligence-api
python -m venv venv && source venv/bin/activate pip install -r requirements.txt
cp .env.example .env
python -m api.main
| Variable | Required | Description |
|---|---|---|
EDINET_API_KEY | Yes | EDINET disclosure API key |
GEMINI_API_KEY | Yes | Google Gemini API key (Layer 2 interpretation) |
GBIZ_API_TOKEN | Yes | gBizINFO API token |
ESTAT_APP_ID | Yes | e-Stat application ID |
JQUANTS_API_KEY | Yes | J-Quants v2 API key |
FRED_API_KEY | Yes | FRED API key |
JI_API_KEY | Optional | API authentication key (enables auth when set) |
JI_API_KEYS | Optional | Multi-tier keys: {"key": "tier"} |
Interactive documentation:
Proprietary. All rights reserved.