Pyunto Diary

Name: Pyunto Diary
Author: utagoeinc

by utagoeincversion 0.3.0i★ –iRuns on your computer

Registry namecom.pyunto/diary

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory
You need to fill in: PYUNTO_PASSWORD

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: PYUNTO_AGENT_NAME, PYUNTO_EMAIL, PYUNTO_PASSWORD, PYUNTO_AGENT_DIR

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "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"
      }
    }
  }
}

Run this in your terminal

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

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.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"
      }
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "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"
      }
    }
  }
}

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.

Values you fill in

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 secret env
Password for PYUNTO_EMAIL
PYUNTO_AGENT_DIR env
Where the account's identity key, space keys and decrypted attachments are kept

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain pyunto.com (the registry checks domain ownership)
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7247 servers in this category
Published to the registry more recently than 50% of the other 7247 servers in this category
Basic checks equal to or better than 100% of the other 7247 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Pyunto Diary safe?

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.

What keys or codes does it need?

You need to fill in: PYUNTO_PASSWORD

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.3.0) reached the registry 38 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today

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Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago

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Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

Install

README from the maker

Open the README

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.

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:

Service	The persona does what a chatbot will not
🏋️ Strength coach	Demands the numbers, remembers last week's, refuses to praise a skipped session
🗣️ Language tutor	Corrects every message, keeps a running list of the learner's own mistakes, escalates difficulty
🏥 Clinic follow-up	Asks the post-operative questions in order, every day, and flags the answers a nurse should see
🥗 Nutritionist	Reads the meal photographs, keeps the week's running total, notices the pattern rather than the meal
📚 Study supervisor	Holds a student to a revision schedule, asks what was actually covered, will not accept "I studied"
🔧 Property manager	Tenants report a problem in the same thread each time; the agent triages, asks for a photograph, and escalates
📐 Field inspection	An engineer photographs a site; the agent records it against the job and asks for what is missing
📅 Sobriety or habit support	Checks 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 first	the agent	you
Runs in the background	yes, continuously	no, only when asked
Where the person talks to it	the Pyunto app, on their phone	Claude Code / Desktop
Who it is for	a service and its users	one person and their own diary
Typical use	a coach, a tutor, a desk that answers	searching 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

Only the beginning is shown; read the rest in the repo

Pyunto Diary

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

pyunto-agent

Two kinds of agent

1. Agent — it writes to your users

2. MCP — you ask Claude about a diary

Which one?

Quick start: a personal trainer your clients message

1. Install

2. Write the trainer

3. Make a QR code to hand out

4. Start answering

Just trying it yourself?

Who it answers, and what members see