
Edition Api
io.github.hiroshic9-png由 GitHub 账号 hiroshic9-png 发布v0.3.1更新于 Oct 24, 2026
Japan business regulations, compliance, travel, protocols, memory — 10 knowledge domains, 23 tools.
概览
本地 MCP 服务器,为助手提供结构化的日本知识:法规、商务礼仪、旅行、日常生活,以及跨 20 个领域的日语感知记忆。
- 可以做什么
- 查询 10 个行业的法规与游客合规要求,并为已执行的法规检查记录审计日志并生成治理报告。检索日本的商务礼仪、日历、地区差异、组织结构和外资进入指南。搜索生活与文化主题:旅行、饮食娱乐、日常生活、语言、灾害安全、医疗、教育、房地产、税务、银行和签证。存储、召回并抽取持久记忆的片段、事实与上下文,含日语敬语和层级分析。用一次跨领域搜索同时覆盖全部 20 个领域。
- 适用场景
- 适合助手需要回答在日本经营或生活的问题时使用,例如公司设立、签证、行业监管、商务礼节或日常事务,并希望答案基于结构化条目而非通用模型知识。也适合需要日语感知持久记忆或合规审计记录的代理。
- 运行要求
- 通过 npx(Node.js)以 stdio 进程在本地运行,也可通过托管 API 访问。需要能访问 EDITION API 基础地址(EDITION_API_URL)的网络,并在 EDITION_API_KEY 中提供 API 密钥;默认提供免费测试密钥。免费层仅含 8 个核心领域、每天 100 次请求;全部 20 个领域需付费 Pro 套餐。
安装
在 SourceWeft 中
- 打开 控制台中的 Edition Api,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
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
来源:README.md,提交 74b8cc9
工具
0版本历史
1- v0.3.1最新Sep 16, 2026
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