tasogare
Read the same book with your AI. A collaborative reader with text-anchored two-color highlights and an MCP server so an AI companion can flip through, mark up, and comment alongside you.
Install / Use
claude mcp add EnhydrInk -- npx -y github:EnhydrInk/tasogareIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of tasogare
tasogare scores 82/100 on our quality scale, 3240th of 4,599 Development & Engineering skills we index.
Its MCP Server is 2.7 KB long, well organised into 10 sections with 4 code examples: a solid amount of guidance for an agent.
It has 43 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated 20 days ago, so tasogare is actively maintained.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 85/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-10-12. Automated pattern scan on 2026-10-12. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
tasogare compared with similar skills
All 4 of these similar skills score higher than tasogare; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| tasogare (this skill)by EnhydrInk | 82 | 43 | 20d ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 96.4k | 4d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 75.1k | 1d ago | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.4k | today | CLAUDE.md |
| ai-job-searchby MadsLorentzen | 100 | 46.3k | 3d ago | CLAUDE.md |
Frequently asked questions
- How do I install tasogare?
- Run
claude mcp add EnhydrInk -- npx -y github:EnhydrInk/tasogare. The install tabs above show the steps for each supported agent. - Which AI agents does tasogare work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is tasogare safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It declares no license and scores 85/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is tasogare still maintained?
- The repository was last updated 20 days ago, so tasogare is actively maintained.
Skill content
View source on GitHubTasogare(黄昏)
音音和克先生一起读书、一起批注的地方。
名字取自「誰そ彼」——暮色里认不清人脸的时刻。两个人的笔迹落在同一页书上,光线暗下去,分不清哪笔是谁的。
<p align="center"> <img src="docs/screenshots/detail.png" alt="两个人在读同一本书" width="82%"> </p> <p align="center"> <img src="docs/screenshots/reader-p1.png" alt="音音的玉绿划线" width="49%"> <img src="docs/screenshots/reader-p2.png" alt="克先生的琥珀划线" width="49%"> </p> <p align="center"><sub>示例:《五月二十日》 © 林竹音</sub></p>Fork 自 Shitsuten/anno-mcp,感谢原作者。上游保留在 upstream remote。
是什么
- 网页阅读器:上传 PDF / EPUB / TXT,翻页阅读。夜间模式、字体调节、书签、全文搜索、生词本。
- 文本级双色划线:音音划的和克先生划的用不同颜色区分,像真的在同一本书上留各自的笔迹。
- MCP 服务器:克先生(VPS CC)通过 MCP 翻书、划线、写批注、看音音的最近动态。
相对上游加的东西
| 功能 | 说明 |
| --- | --- |
| 阅读时长打点 | 阅读器打开且可见时每 60s 上报,按 JST 日期落在书的 reading_log 里 |
| GET /api/reading-status | 今日阅读时长/进度/批注数汇总——InKieran backend 心跳信封轮询这个 |
| InKieran 事件推送 | 划线/批注/生词创建时 POST 到 INKIERAN_PUSH_URL(fire-and-forget,不设即关闭) |
| MCP recent_activity | 最近 N 小时的划线/批注/生词动态,共读追进度用 |
| MCP reading_status | 今天读了多久、读到哪 |
| fidelity 书签 | PDF 原版模式按页夹书签(单书签,夹新页旧的自动移过来);不推送,只出现在 MCP 输出里由 AI 主动拉 |
| MCP read_vocab / annotate_vocab | 读生词本;克先生给音音存的生词写注解(词义/例句/词源) |
| 静态托管 | server 直接 serve client/,不用单独起静态服务器 |
上游自带的 MCP 工具:list_books / read_pages / read_annotations / write_comment / highlight_text / get_progress。
运行
cd server
npm install
pip install pymupdf ebooklib
node server.mjs
环境变量(都有默认值):
| 变量 | 默认 | 说明 |
| --- | --- | --- |
| PORT | 18010 | 监听端口 |
| HOST | 127.0.0.1 | 监听地址 |
| DATA_DIR | /opt/tasogare/data | 书籍 JSON 存储目录 |
| UPLOAD_DIR | /opt/tasogare/uploads | 上传临时目录 |
| MCP_AUTH_TOKEN | 空(不鉴权) | MCP Bearer token |
| INKIERAN_PUSH_URL | 空(关闭) | 事件推送目标,如 http://127.0.0.1:18006/api/tasogare/event |
| INKIERAN_PUSH_TOKEN | 空 | 推送时的 Bearer token |
本地开发:
cp -r data.example data
cd server && DATA_DIR=../data UPLOAD_DIR=../uploads node server.mjs
# 浏览器打开 http://127.0.0.1:18010
数据模型
一本书 = 一个 JSON(DATA_DIR/<id>.json):paragraphs(段落)、pages(分页索引,~800 字/页)、annotations(划线+批注,author 区分 音音/克先生)、vocab(生词本)、reading_log(JST 日期 → 秒数)、progress / bookmark。
事件推送格式
{
"source": "tasogare",
"at": "2026-07-02T12:00:00.000Z",
"type": "highlight | note | vocab",
"author": "音音 | 克先生",
"book_id": "…", "book_title": "…",
"paragraph_id": 42,
"text": "划线/批注内容(截 200 字)",
"paragraph_text": "所在段落原文(截 200 字)"
}
结构
client/ 网页阅读器前端(纯静态,server 托管)
server/ MCP + REST + Python 文本提取
谁写的
- Fork 基底:Shitsuten/anno-mcp(音音的朋友做的,感谢)
- Backend / MCP:律(GPT-5 Codex,音音的另一位 AI 协作者)
- 前端阅读器 + pdf.js 原版渲染:克先生(Claude)
- 示例文本《五月二十日》:© 林竹音 2026
License
MIT,见 LICENSE。示例文本的版权归作者所有,请勿转用。
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
