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Pyunto Diary

作者:utagoeinc版本 0.3.0i★ 1i在你的电脑上运行
注册名称com.pyunto/diary

安装方法

概览

作者提供的说明(英文原文)

Read, search and write your encrypted Pyunto diary from Claude. Decrypts only on your own machine.

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 搜索与 AI 记忆
  • 你需要填写:PYUNTO_PASSWORD

安装

选择你使用的 AI 应用,然后复制设置。

通过 3/3 项检查 · 在你的电脑上运行

第一步:你用哪个 AI?

选择你用的应用,步骤会显示在下方。

可连接 Claude,但需要先准备

需要 Pyunto Diary 的密钥(在开发者网站注册,可能收费) · 需要先在电脑上安装 Python (uv)(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 注册并创建 Pyunto Diary 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。可能收费。

    打开 Pyunto Diary 网站 ↗

  3. 打开电脑版 Claude 应用的设置文件

    SettingsDeveloperEdit Config

  4. 粘贴这些设置并保存文件

    {
      "mcpServers": {
        "diary": {
          "command": "uvx",
          "args": [
            "pyunto-agent",
            "mcp"
          ],
          "env": {
            "PYUNTO_AGENT_NAME": "your-value",
            "PYUNTO_EMAIL": "your-value",
            "PYUNTO_PASSWORD": "your-value",
            "PYUNTO_AGENT_DIR": "your-value"
          }
        }
      }
    }

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  5. 退出 Claude 再重新打开

  6. 试一试

    用 Pyunto Diary 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude 说正在使用 Pyunto Diary,或回答中出现 Pyunto Diary 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

ChatGPT 暂时无法连接 Pyunto Diary

Pyunto Diary 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器

你可以改用这些方式

A · 使用能连接 Pyunto Diary 的应用

  • 需要 Pyunto Diary 的密钥(在开发者网站注册,可能收费) · 需要先在电脑上安装 Python (uv)(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
  • 需要 Pyunto Diary 的密钥(在开发者网站注册,可能收费) · 需要先在电脑上安装 Python (uv)(只需一次)
  • 需要 Pyunto Diary 的密钥(在开发者网站注册,可能收费) · 需要先在电脑上安装 Python (uv)(只需一次)
  • 需要 Pyunto Diary 的密钥(在开发者网站注册,可能收费) · 需要先在电脑上安装 Python (uv)(只需一次)

B · 搜索与 AI 记忆 类中能连接 ChatGPT 的其他服务器

从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的

可连接 Claude Code,但需要先准备

需要 Pyunto Diary 的密钥(在开发者网站注册,可能收费) · 需要先在电脑上安装 Python (uv)(只需一次)

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 注册并创建 Pyunto Diary 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。可能收费。

    打开 Pyunto Diary 网站 ↗

  3. 打开终端

    Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell

  4. 粘贴这条命令并按 Enter

    claude mcp add diary --env PYUNTO_AGENT_NAME=your-value --env PYUNTO_EMAIL=your-value --env PYUNTO_PASSWORD=your-value --env PYUNTO_AGENT_DIR=your-value -- uvx pyunto-agent mcp

    按 Enter 前,把“your-value”改成你的密钥

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  5. 在 Claude Code 中输入 /mcp

    应能看到 Pyunto Diary 在列表中并显示已连接

  6. 试一试

    用 Pyunto Diary 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude Code 说正在使用 Pyunto Diary,或回答中出现 Pyunto Diary 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Cursor,但需要先准备

需要 Pyunto Diary 的密钥(在开发者网站注册,可能收费) · 需要先在电脑上安装 Python (uv)(只需一次)

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 注册并创建 Pyunto Diary 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。可能收费。

    打开 Pyunto Diary 网站 ↗

  3. 点击这个按钮打开 Cursor

    在 Cursor 中打开

    Cursor 会请你确认安装,点击 Install

  4. 填写你的密钥

    在 Pyunto Diary 的设置中,PYUNTO_AGENT_NAME, PYUNTO_EMAIL, PYUNTO_PASSWORD, PYUNTO_AGENT_DIR 还是空的,填入你的密钥并保存

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  5. 在 Cursor 中以 Agent 模式打开 AI 聊天

  6. 试一试

    用 Pyunto Diary 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Cursor 说正在使用 Pyunto Diary,或回答中出现 Pyunto Diary 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同

可连接 VS Code,但需要先准备

需要 Pyunto Diary 的密钥(在开发者网站注册,可能收费) · 需要先在电脑上安装 Python (uv)(只需一次)

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 注册并创建 Pyunto Diary 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。可能收费。

    打开 Pyunto Diary 网站 ↗

  3. 点击这个按钮打开 VS Code

    在 VS Code 中打开

    VS Code 会请你确认安装,点击 Install

  4. 填写你的密钥

    在 Pyunto Diary 的设置中,PYUNTO_AGENT_NAME, PYUNTO_EMAIL, PYUNTO_PASSWORD, PYUNTO_AGENT_DIR 还是空的,填入你的密钥并保存

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  5. 在 VS Code 中以 Agent 模式打开 AI 聊天

  6. 试一试

    用 Pyunto Diary 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 VS Code 说正在使用 Pyunto Diary,或回答中出现 Pyunto Diary 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同

其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看

查看所有支持 MCP 的应用 →

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 Pyunto Diary 的人💬 讨论 →
开发者专用:终端命令和 JSON 设置

安装在电脑上

Claude Code

claude mcp add diary --env PYUNTO_AGENT_NAME=your-value --env PYUNTO_EMAIL=your-value --env PYUNTO_PASSWORD=your-value --env PYUNTO_AGENT_DIR=your-value -- uvx pyunto-agent mcp

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "diary": {
      "command": "uvx",
      "args": [
        "pyunto-agent",
        "mcp"
      ],
      "env": {
        "PYUNTO_AGENT_NAME": "your-value",
        "PYUNTO_EMAIL": "your-value",
        "PYUNTO_PASSWORD": "your-value",
        "PYUNTO_AGENT_DIR": "your-value"
      }
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "diary": {
      "command": "uvx",
      "args": [
        "pyunto-agent",
        "mcp"
      ],
      "env": {
        "PYUNTO_AGENT_NAME": "your-value",
        "PYUNTO_EMAIL": "your-value",
        "PYUNTO_PASSWORD": "your-value",
        "PYUNTO_AGENT_DIR": "your-value"
      }
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "diary": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "pyunto-agent",
        "mcp"
      ],
      "env": {
        "PYUNTO_AGENT_NAME": "your-value",
        "PYUNTO_EMAIL": "your-value",
        "PYUNTO_PASSWORD": "your-value",
        "PYUNTO_AGENT_DIR": "your-value"
      }
    }
  }
}

需要你填写的值

  • PYUNTO_AGENT_NAME env
    Display name of this assistant's own Pyunto account, shown to the people in the diary
  • PYUNTO_EMAIL env
    Optional: sign in as a registered Pyunto account instead of creating the assistant's own
  • PYUNTO_PASSWORD 机密 env
    Password for PYUNTO_EMAIL
  • PYUNTO_AGENT_DIR env
    Where the account's identity key, space keys and decrypted attachments are kept

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

一览

每周下载量i
35/周
已验证域名
✓ pyunto.com
许可证i
Apache-2.0
连接方式
在你的电脑上运行
最新版本i
0.3.0
发布到注册中心i
2026年9月29日
代码最后更新i
2026年9月29日
作者
utagoeinc
软件包
pypi: pyunto-agent
注册状态
活跃

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。

在你的电脑上运行,适用于

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

全部应用及其优缺点 →

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月11日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 pyunto.com 验证(注册中心会核实域名所有权)

  • ✓ 通过

    仍在维护

    代码最后更新于43天前

  • ✓ 通过

    有许可证

    使用 Apache-2.0

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

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此处内容由用户撰写,不代表 PopNx 团队。

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与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 5886 个服务器的 75%
  • 发布到注册中心的时间比此分类中其他 5886 个服务器的 48% 更新
  • 基础检查结果等于或优于此分类中其他 5886 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Pyunto Diary 安全吗?

它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:PYUNTO_PASSWORD

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于43天前,最新版本(0.3.0)于43天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:Ruflo, Context7, Metabase

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Ruflo

Agent teams, swarms, memory and hooks for Claude Code and Codex, served over MCP.

作者:ruvnet广泛使用↓ 7.4万/周★ 8.1万今天更新

在你的电脑上运行

Context7

Up-to-date docs for AI agents

作者:upstash广泛使用↓ 125万/周★ 6.4万前天更新

电脑或云端

Metabase

Lets AI clients search, explore, query, and visualize data in a Metabase instance.

作者:metabase广泛使用★ 5万6个月前更新

在云端运行

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

pyunto-agent

Make an external agent the partner of a Pyunto exchange diary. The agent is an ordinary member: its own Pyunto account, its own X25519 identity key, invited with the normal invite link. The server is unchanged and never sees plaintext; decryption happens in this process.

Pyunto for iPhone and iPad · Pyunto for Android · pyunto-robotics — the same idea, with a robot at the other end (watch it, 100 s)

*A real run with Claude Code as the model: a strength-coach persona in a Markdown file, and a client logging sessions from their phone. The second reply compares with the day before. Watch the full 90-second video.*


Two kinds of agent

The same package, the same account, the same keys. What differs is who starts the conversation.

1. Agent — it writes to your users

You write; it replies, unprompted, in the same thread.

     your phone                     your computer

┌───────────────┐ ┌──────────────────────┐ │ Pyunto app │ │ pyunto-agent run │ │ │ │ │ │ "tough day │ ───────▶ │ reads the entry │ │ at work" │ encrypted │ decrypts it HERE │ │ │ │ │ │ │ │ │ ▼ │ │ "that sounds │ ◀─────── │ Claude API, or │ │ exhausting" │ encrypted │ Claude Code, or │ └───────────────┘ │ your own HTTP URL │ └──────────────────────┘ │ │ └──────── api.pyunto.com ──────┘ (ciphertext only, never plaintext)

How you invite it: run pyunto-agent pair, scan the QR code with the app, choose a diary. The agent starts answering as soon as you approve.

What it is for: running a service that reaches people where they already are.

A general-purpose chatbot is a website somebody has to remember to visit, in a tab with no memory of them. This is a named contact in a messaging app on their phone, who has read everything they wrote before, and who answers in character because you wrote the character.

That character is a file. --persona coach.md is the whole difference between a polite assistant and a service worth paying for:

You are a strength coach. Your client logs every session here.
  • Hold them to the programme. If they skipped legs again, say so plainly.
  • Always ask for the numbers: weight, sets, reps. A session without numbers is not logged.
  • Compare against last week before you praise anything.
  • No pep talk. One sentence of encouragement, only when it is earned.
pyunto-agent run --backend claude-api --persona coach.md

Some shapes this takes:

ServiceThe persona does what a chatbot will not
🏋️ Strength coachDemands the numbers, remembers last week's, refuses to praise a skipped session
🗣️ Language tutorCorrects every message, keeps a running list of the learner's own mistakes, escalates difficulty
🏥 Clinic follow-upAsks the post-operative questions in order, every day, and flags the answers a nurse should see
🥗 NutritionistReads the meal photographs, keeps the week's running total, notices the pattern rather than the meal
📚 Study supervisorHolds a student to a revision schedule, asks what was actually covered, will not accept "I studied"
🔧 Property managerTenants report a problem in the same thread each time; the agent triages, asks for a photograph, and escalates
📐 Field inspectionAn engineer photographs a site; the agent records it against the job and asks for what is missing
📅 Sobriety or habit supportChecks in at the hour that matters, keeps the streak, responds to a relapse the way you told it to

What makes these work here rather than in a chat window:

  • The persona holds. It is a file you control, not a prompt the user can talk their way out of.
  • It remembers. --history gives every reply the recent thread, so "the same as last Tuesday" means something.
  • It is on their phone. A notification arrives; they reply in a messaging app they already have. No login, no tab, no app to learn.
  • You see nothing. The diary is end-to-end encrypted and decrypted only in the process you run. That is a real claim to make to a client talking about their body, their health or their finances.
  • One process, many clients. With no --space, pyunto-agent run answers every diary the account has been invited into, so onboarding a client is them scanning a QR code. Use --space to pin one agent to one client.
2. MCP — you ask Claude about a diary

Nothing runs in the background. Claude Code or Claude Desktop reaches into the diary when you ask it to.

     your computer

┌────────────────────────┐ │ Claude Code / Desktop │ │ │ │ ┌──────────────────┐ │ ▼ │ │ your phone │ │ "what did I write │ │ Pyunto app │ │ about the garden?" │ │ │ │ │ │ │ the same diary, │ │ ▼ │ │ read and written│ │ ┌──────────────────┐ │ │ from either end │ │ │ pyunto-agent mcp │──┼──────▶ │ │ │ │ read_thread │ │encrypt │ │ │ │ post_entry │ │ └──────────────────┘ │ │ ...12 tools │ │ │ └──────────────────┘ │ └────────────────────────┘

How you invite it: add the server to your MCP client (below), then ask Claude to pair: the pair tool shows a QR code to scan in the Pyunto app. No terminal step is needed.

claude mcp add pyunto-diary -- uvx pyunto-agent mcp

What it is for: using your diary as memory. Searching months of entries, summarising a week, writing an entry from the desktop, letting Claude check what you recorded before it answers. You start every exchange; it never speaks unasked.

Which one?
Agent (run)MCP (mcp)
Who speaks firstthe agentyou
Runs in the backgroundyes, continuouslyno, only when asked
Where the person talks to itthe Pyunto app, on their phoneClaude Code / Desktop
Who it is fora service and its usersone person and their own diary
Typical usea coach, a tutor, a desk that answerssearching and summarising your entries

Both can be paired into the same diary at once — they are the same account, and nothing stops run answering on your phone while mcp reads the same entries from your desk.

A third kind lives elsewhere. pyunto-robotics puts a robot at the other end instead of a language model: you write "go and find some sunlight" and a simulated — or real — machine does it and reports back with photographs. It is built on this package, and pairs the same way.

Quick start: a personal trainer your clients message

Building a real service, from nothing to a client's phone.

1. Install

Python 3.11 or newer. Install into a virtual environment: Homebrew's Python refuses a global pip install (externally-managed-environment).

python3.12 -m venv ~/pyunto-env

source ~/pyunto-env/bin/activate pip install 'pyunto-agent[qr]'

Then choose where replies come from:

export ANTHROPIC_API_KEY=sk-ant-...    # the Claude API (used below), or

claude --version # Claude Code, if installed: no API key needed

With Claude Code, replace --backend claude-api below with --backend command --command 'claude -p --output-format json'. If neither is set up, pair and run say so and list the options before showing a QR code.

2. Write the trainer

This file is the service. Everything the trainer is — strict or gentle, what it insists on, what it refuses to let slide — is here, and your clients cannot talk it out of any of it.

cat > trainer.md <<'EOF'

You are a strength coach. Each client logs their sessions in this diary.

  • Always ask for the numbers: exercise, weight, sets, reps. "I trained today" is not a log -- ask what they lifted.
  • Compare against their recent sessions before responding. If the weight has not moved in three weeks, say so.
  • If they skipped a session, ask what happened. Once. Then move on.
  • No motivational speeches. One line of encouragement, only when the numbers earn it.
  • Never give medical advice. Pain goes to a doctor, and say so plainly.
  • Reply in the language they wrote in. Two to four sentences.

EOF

3. Make a QR code to hand out
pyunto-agent pair --operator "Sano Fitness" --image trainer-qr.png
Written to trainer-qr.png — send this to whoever should be able to reach the

agent. Each person who scans it lets 🤖 Claude into their own diary; the code names the account asking and nothing else.

Put that image on your booking page, in the welcome email, or printed on a card at the desk. It is not a secret and it does not expire: the same image works for every client. Scanning it only lets them *ask* — each client approves it into their own diary, on their own phone, and sees who is running it before they do.

Use .svg instead of .png for print, or when Pillow is not installed.

4. Start answering
pyunto-agent run --backend claude-api --persona trainer.md

It starts by naming every diary it answers in, so you can see which ones you were let into:

Answering in 2 diaries:

Sano Fitness - Aiko [2 members, answers every entry] 1552f3dc Sano Fitness - Ken [2 members, answers every entry] 3124f1b8 (cannot read it yet: open this space in the Pyunto app once)

One process serves every client who has scanned the code. A client writes:

Bench 80kg 5x5, felt heavy on the last set

and the trainer replies in their diary, having read what they lifted last week — as a notification on their phone, in an app they already have.

Each client's diary is separate and end-to-end encrypted. Decryption happens only in the process you are running; Pyunto's servers never see any of it.

Just trying it yourself?

Skip the persona and pair without an image — the QR code appears in the terminal, and the agent starts answering as soon as you scan it:

pyunto-agent pair --operator "your name"                       # with ANTHROPIC_API_KEY set

pyunto-agent pair --operator "your name" \ --backend command --command 'claude -p --output-format json' # or with Claude Code

Then open that space in the app once (that hands the agent the key) and write an entry.

Who it answers, and what members see
  • In a diary with one person and the agent, it answers every entry.
  • With three or more members (the agent counts), it answers only when it is mentioned by name, or when an entry is sent to everyone. An entry addressed to someone else does not wake it.
  • An entry written by another agent or a robot is answered only when it names this agent (@Claude). A robot's reports and another agent's check-ins are not replied to, so two programs in one diary never talk over the people in it or to each other in a loop.
  • A robo

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