Time Management

Name: Time Management
Author: pyunto

by pyuntoversion 0.4.0i★ –iRuns on your computer

Registry namecom.pyunto/time-management

Install

Overview

Description from the maker (original English)

Read your Pyunto Time Management schedule and log time from an AI assistant. E2EE project planning.

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: Other
You need to fill in: PYUNTO_TM_API_KEY, PYUNTO_TM_PASSWORD, PYUNTO_TM_PASSWORD_FILE

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_TM_API_KEY, PYUNTO_TM_BASE_URL, PYUNTO_TM_PASSWORD, PYUNTO_TM_PASSWORD_FILE

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

You need

npmNode.js installed (for the npx 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": {
    "time-management": {
      "command": "npx",
      "args": [
        "-y",
        "@pyunto/tm-mcp"
      ],
      "env": {
        "PYUNTO_TM_API_KEY": "your-value",
        "PYUNTO_TM_BASE_URL": "your-value",
        "PYUNTO_TM_PASSWORD": "your-value",
        "PYUNTO_TM_PASSWORD_FILE": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add time-management --env PYUNTO_TM_API_KEY=your-value --env PYUNTO_TM_BASE_URL=your-value --env PYUNTO_TM_PASSWORD=your-value --env PYUNTO_TM_PASSWORD_FILE=your-value -- npx -y @pyunto/tm-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": {
    "time-management": {
      "command": "npx",
      "args": [
        "-y",
        "@pyunto/tm-mcp"
      ],
      "env": {
        "PYUNTO_TM_API_KEY": "your-value",
        "PYUNTO_TM_BASE_URL": "your-value",
        "PYUNTO_TM_PASSWORD": "your-value",
        "PYUNTO_TM_PASSWORD_FILE": "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": {
    "time-management": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@pyunto/tm-mcp"
      ],
      "env": {
        "PYUNTO_TM_API_KEY": "your-value",
        "PYUNTO_TM_BASE_URL": "your-value",
        "PYUNTO_TM_PASSWORD": "your-value",
        "PYUNTO_TM_PASSWORD_FILE": "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_TM_API_KEY secret required env
API key (ptm_...) minted in Settings → Account → API keys. Required to read or write data; listing the tools works without it.
PYUNTO_TM_BASE_URL env
Base URL, for self-hosted instances
PYUNTO_TM_PASSWORD secret env
Account password; unwraps the private key locally so E2EE project and task names decrypt
PYUNTO_TM_PASSWORD_FILE secret env
Path to a file holding the account password, instead of PYUNTO_TM_PASSWORD

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 7, 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 Otheri

More stars than 0% of the other 32680 servers in this category
Published to the registry more recently than 85% of the other 32680 servers in this category
Basic checks equal to or better than 100% of the other 32680 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 Time Management 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_TM_API_KEY, PYUNTO_TM_PASSWORD, PYUNTO_TM_PASSWORD_FILE

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 (0.4.0) reached the registry 5 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, EmbeddedCI BenchPod

Alternatives

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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/tm-mcp

MCP (Model Context Protocol) server for Pyunto Time Management. Connects Claude Code, Claude Desktop, Codex CLI, Cursor and any other MCP client to a Pyunto TM account so an assistant can read the schedule, summarise where the hours went, and log time.

User-facing setup instructions live at [https://tm.pyunto.com/docs/mcp.en.md](https://tm.pyunto.com/docs/mcp.en.md) (日本語: https://tm.pyunto.com/docs/mcp.ja.md). This file is the developer view.

Tools

Tool	Scope
`whoami` — account, key name, scopes, decryption status	—
`list_projects`	`projects:read`
`list_tasks` (filter by project or by a date the task covers)	`projects:read`
`list_time_blocks` (range ≤ 92 days)	`blocks:read`
`time_summary` (grouped by project / task / date)	`record:read`
`log_time` (writes)	`blocks:write`
`update_time_block` (writes)	`blocks:write`
`delete_time_block` — one id, restorable for 14 days	`blocks:delete`
`list_deleted_time_blocks` / `restore_time_block`	`blocks:read` / `blocks:write`
`create_task` — a Gantt task with start and end dates	`tasks:write`
`complete_task` — mark finished, or reopen	`tasks:write`
`update_task` — rename, move dates, archive	`tasks:write`
`set_monthly_target` — the budget the daily draft divides up	`tasks:write`

Every tool returns JSON as text. Failures come back as isError results whose message names the fix (missing scope, wrong key, locked E2EE) rather than throwing at the transport level — an agent can act on that, a stack trace it cannot.

Install

npx -y @pyunto/tm-mcp        # what an MCP client config runs

Build from source

This package lives in an npm-workspaces repository together with the SDK it depends on; build from the repository root so the workspace link is used:

npm install

npm run build # both packages npm test # sdk crypto round-trips + 25 MCP tool checks

Result: mcp/dist/cli.js, the executable stdio server (dist/index.js stays a side-effect-free module the tests can import).

Configuration

Environment only — MCP clients spawn the process and inject env from their config file.

The server starts without an API key and answers tools/list — a client or a directory can see what it offers before anyone signs up. Calling a tool without one returns the same guidance as an isError rather than an opaque 401, and whoami reports the missing key instead of failing.

Variable	Required	Default	Purpose
`PYUNTO_TM_API_KEY`	for data	—	`ptm_…`, minted in Settings → Account → API keys. Listing the tools works without it
`PYUNTO_TM_BASE_URL`		`https://tm.pyunto.com`	Self-hosted instances
`PYUNTO_TM_PASSWORD`		none	Unwraps the private key locally so E2EE names/memos decrypt
`PYUNTO_TM_PASSWORD_FILE`		none	Same, read from a file instead of the env

"mcpServers": { "pyunto-tm": { "command": "npx", "args": ["-y", "@pyunto/tm-mcp"], "env": { "PYUNTO_TM_API_KEY": "ptm_…" } } } }

How E2EE is handled

Content fields are encrypted in the user's browser; the server never holds the plaintext, and neither does this process by default. Given a password, the server's *password-wrapped* private key blob (GET /api/v1/keys, scope keys:read) is unwrapped here, in memory, and used to open each project's sealed DEK. The password is never transmitted and nothing is written to disk.

Without a password the server still answers everything schedule-shaped — ids, dates, times, durations, aggregates — and name fields come back empty with a NOTE: explaining why, so the model reports the limitation instead of inventing names.

Layout

src/index.ts     tool definitions + implementations + server wiring

src/cli.ts the bin: calls start() test/tools.mjs stub /api/v1 server, exercises every tool and error path test/cli.mjs spawns the built bin (directly and via symlink) over real MCP

callTool(name, args) is exported for tests; start() attaches the transport and is called only by cli.ts.

delete_time_block is deliberately single-id: no range or filter delete is exposed, because an automated caller getting a range wrong destroys an unbounded amount of data that has no restore path. Its tool description requires the model to show the user the exact block first and get a yes for that block.

There is no delete_task for the same reason, and a sharper one: removing a task detaches every block that logged time against it (tasks.id ON DELETE SET NULL) and orphans its subtasks, with nothing to restore from. update_task offers archive instead — the task leaves every view and can be brought back.

tasks:write is separate from blocks:write on purpose. Recording time against a plan and rewriting the plan are different powers; a key given to something that only logs work should not be able to move deadlines.

update_task returns an array. Moving a task's dates drags its dependents along, and the caller is told what else moved rather than discovering it on the next read.

Time Management

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 Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

EmbeddedCI BenchPod

README from the maker

@pyunto/tm-mcp

Tools

Install

Build from source

Configuration

How E2EE is handled

Layout