
Japan Business Operations
io.github.hiroshic9-png由 GitHub 帳號 hiroshic9-png 發布v0.5.0更新於 Oct 24, 2026
Japan Operations OS for AI agents — 14 knowledge domains, 31 tools via REST+MCP.
概覽
本機 MCP 伺服器,為助理提供結構化的日本市場知識:法規、商務禮儀、市場進入、日常生活、旅遊,以及能辨識敬語的持久記憶。
- 可以做什麼
- 用一次跨領域查詢同時檢索所有知識領域,或逐一查詢單一領域(法規、商務禮儀、行事曆、地區、組織、外資進入、旅遊、娛樂、日常生活、語言、飲食、災害、醫療、教育、房地產、稅務、銀行、簽證)。在查詢具體問題前,先列出各領域可用的類別和行業。儲存、檢索並從對話中擷取結構化記憶,包含敬語等級、社會階層和信心度分析。在法規檢查後記錄合規稽核項目並產生治理報告。讀取領域目錄和品質評分資源,並載入商務簡報或旅遊指南提示詞。
- 適用情境
- 當助理需要回答在日本營運相關問題時適用,例如公司設立、簽證、銀行、稅務、行業法規、商務禮儀,或日常生活與旅遊事務,並且希望得到有來源的答案而非模型猜測。也適合需要辨識敬語的持久記憶或合規稽核記錄的情境。
- 執行需求
- 透過 npx(Node.js)以 edition-mcp-server 套件在本機執行。需要連線至 EDITION API 的網路;基礎位址由 EDITION_API_URL 設定,金鑰由 EDITION_API_KEY 設定。預設提供免費測試金鑰,匿名存取會退回免費層級。完整領域和更高請求上限需要付費層級。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Japan Business Operations,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
EDITION Intelligence Platform
[Glama Score] [npm] [License: MIT]
Japan Knowledge Gateway for autonomous AI agents.
20 knowledge domains · 43 MCP tools · 7 Skills Packs · 100+ REST endpoints Verified ground truth for operating in the Japanese market. Quality score: 97.8/100.
Production API: api.edition.sh — Free beta, no registration required.
Interactive Demo: Tourist Agent Demo — Watch 6 domains work together in real-time.
Why EDITION?
AI agents working in Japan hit walls that generic LLMs can't solve:
EDITION provides verified, structured intelligence that agents can use as ground truth instead of hallucinating cultural nuances, legal requirements, and procedural details.
20 Knowledge Domains
Skills Packs (MCP Skills Primitive)
Pre-built knowledge packs that bundle domain expertise, SOPs, and tool orchestration instructions. Skills-aware agents can load these to gain structured Japan operational knowledge.
→ Full Skills Pack documentation
Governance Intelligence
EDITION includes built-in compliance audit trail tools for agents operating under governance requirements. Available in both Progressive Discovery and Legacy modes.
Designed for EU AI Act (Aug 2026) and upcoming Japan AI governance compliance.
Quick Start
Option 1: npx (Recommended for Claude Desktop / Cursor)
Add to claude_desktop_config.json:
Option 2: Smithery
Option 3: REST API (Direct)
Memory API — Japanese-aware Persistent Memory
Store episodes, auto-extract structured facts with keigo analysis, social hierarchy detection, and confidence scoring.
Three-layer architecture:
- Episodes — raw conversation logs
- Facts — structured knowledge (subject→predicate→object triples)
- Context — aggregated session summaries per entity/topic
MCP Capabilities
API Endpoints
Memory
Regulation & Compliance
Business Intelligence
Market Entry
Lifestyle & Culture
Cross-Domain
Data Quality
All knowledge entries include:
source_url— Link to authoritative source (government websites, official organizations)last_verified— Date of last verificationconfidence— Verification status (verified/estimated)version— Entry version with changelog
Sources include: 厚生労働省 (MHLW), 国税庁 (NTA), 法務省 (MOJ), 国土交通省 (MLIT), 経済産業省 (METI), 日本経団連 (Keidanren), JETRO, 入管庁 (ISA).
Tech Stack
Agent Discovery
Agent Harness Compatible
EDITION is designed as a Tool Registry / Japan Knowledge Layer for agent harnesses. All 43 tools include MCP annotations (readOnlyHint, destructiveHint, idempotentHint), usage guidelines, and behavioral transparency metadata — enabling harness frameworks to auto-discover, evaluate, and integrate EDITION tools without manual configuration.
Freemium Access
Anonymous access defaults to Free tier. Register for an API key at POST /api/v1/auth/register.
Registries
Why Not Mem0 / Letta / Zep?
Those are excellent general-purpose memory tools. But they don't:
- Parse Japanese keigo levels (丁寧語 / 尊敬語 / 謙譲語)
- Detect implicit social hierarchy from honorific patterns
- Score confidence based on Japanese speech patterns (断定 vs 推測 vs 伝聞)
- Include a Japanese regulatory database with 20 knowledge domains
Japanese business context is structurally different. Agents need purpose-built infrastructure to navigate it.
License
MIT
來源:README.md,提交 74b8cc9
工具
0版本歷史
1- v0.5.0最新Sep 16, 2026
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