Pi TaskExec

Name: Pi TaskExec
Author: zguiyang

by zguiyangversion 0.4.0i★ –iRuns on your computer

Registry nameio.github.zguiyang/pi-task-exec

Install

Overview

Description from the maker (original English)

A host-agnostic MCP worker runtime for supervising local Pi coding-agent processes.

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: Docs, sheets & office work

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).
The registry lists no key to fill in.

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": {
    "pi-task-exec": {
      "command": "npx",
      "args": [
        "-y",
        "@zguiyang/pi-task-exec",
        "mcp",
        "serve"
      ]
    }
  }
}

Run this in your terminal

claude mcp add pi-task-exec -- npx -y @zguiyang/pi-task-exec mcp serve

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "pi-task-exec": {
      "command": "npx",
      "args": [
        "-y",
        "@zguiyang/pi-task-exec",
        "mcp",
        "serve"
      ]
    }
  }
}

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": {
    "pi-task-exec": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@zguiyang/pi-task-exec",
        "mcp",
        "serve"
      ]
    }
  }
}

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.

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 with the GitHub account zguiyang, which owns the repo
… 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 Docs, sheets & office worki

More stars than 0% of the other 2191 servers in this category
Published to the registry more recently than 58% of the other 2191 servers in this category
Basic checks equal to or better than 100% of the other 2191 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 Pi TaskExec 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

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 22 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: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

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.

Pi TaskExec

Pi TaskExec lets a supervising agent assign bounded, independent investigation, analysis, implementation, and verification tasks to local Pi workers through MCP. The agent can also work directly when delegation would add more overhead than value.

The project grew out of the author's own workflow: using different models or subscription plans for planning and review versus execution. If you also have multiple AI coding subscriptions or model resources, you can try this division of work to make better use of them and keep execution details from crowding the main agent's context.

The author is still evaluating how this approach affects context usage, total token consumption, and actual costs; savings are not guaranteed. It addresses the author's own collaboration needs and may help others with similar workflows. You're welcome to try it and share your experiences, alternative views, or suggestions via Issues.

English | 简体中文

Highlights

Runs tasks on local Pi using its locally configured default model, with optional per-worker model and thinking overrides.
Full worker lifecycle: spawn, status with bounded wait, steer, continue, cancel (pi_abort), and release (pi_release), plus list.
Read-only inspect (default) and read/write implement capability profiles.
The Supervisor chooses the working directory; the MCP verifies authorization but never creates worktrees or branches.
One unified MCP + pi-delegate Skill setup with keyboard multi-select across Codex, Zed, and OpenCode.

Requirements

Node.js >= 22.20
An installed and configured pi executable

Quick start

From the project you want to configure, run the unified setup:

npx -y @zguiyang/pi-task-exec@latest setup

v0.3.1 is the current published release. This checkout prepares v0.4.0 with

updated delegation guidance and multi-host CLI flows.

The v0.3.0 worker-interface changes still apply;

if you are upgrading from v0.2.2, follow the

v0.3.0 migration notes.

On a TTY it opens a keyboard multi-select for the hosts (codex, zed, opencode) plus a single scope (project or global), then runs and prints a concise result; a routine run does not print the full plan and does not ask for a Proceed? confirmation. Use --dry-run for the full plan (paths, conflicts, warnings) and --json for stable machine-readable detail. The pi-delegate Skill is installed from this repository (skills/pi-delegate) at the matching release tag through the pinned Skills CLI skills@1.7.1. Selections can also be given up front: --host may be repeated for several hosts, and exactly one --scope applies to the whole run:

npx -y @zguiyang/pi-task-exec@latest setup --host codex --host zed --scope project

Restart each selected host afterward, grant project trust if asked, and verify that pi_list is available inside the host.

Commands

npx -y @zguiyang/pi-task-exec@latest update

npx -y @zguiyang/pi-task-exec@latest uninstall npx -y @zguiyang/pi-task-exec@latest doctor npx -y @zguiyang/pi-task-exec@latest doctor --probe

setup, update, and uninstall share the same keyboard multi-select of hosts and one scope, and also accept repeated --host flags. update replaces the managed MCP entry and Skill files, so previously configured custom settings must be supplied again.

uninstall removes only the managed pi-task-exec MCP entries for the selected hosts and scope. The shared pi-delegate Skill is retained by default; it is removed only when that removal is explicitly requested, which prints a warning and reports the known hosts that still reference it first. For a non-interactive run, add --remove-skill to request that removal.

The existing add and remove subcommands (add mcp, add skill, remove mcp, remove skill) remain available as single-target commands. doctor is read-only; --probe checks the package runtime only and never creates a worker.

Learn more

Full usage reference: docs/usage.md
v0.4.0 release notes: docs/release-v0.4.0.md
v0.3.1 release notes: docs/release-v0.3.1.md
v0.2.2 → v0.3.0 migration: docs/usage.md
Delegation policy: skills/pi-delegate/SKILL.md
License: LICENSE

English | 简体中文

Pi TaskExec

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

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 Docs, sheets & office worki

Common questions

Alternatives

Agent-Native Calendar

Excel MCP Server

MCP Server for Excel

README from the maker

Pi TaskExec

Highlights

Requirements

Quick start

Commands

Learn more