Integration with GitHub for managing issues, repositories, and project tracking.
Integration with Gmail for handling emails, with draft-only creation by default.
Provides a one-way mirror integration with Notion to synchronize tasks and projects.
Integration with Slack for sending messages, notifications, and collaboration.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@TaskPilot MCP Server Create a task to review the Q3 budget report by Friday"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
A local-first desktop task & calendar manager built to treat an AI agent as a first-class operator — not a chat bolted onto a to-do list.
TaskPilot runs entirely on your machine. Your tasks, calendar, and history live in a local SQLite database; an AI agent can read and act on them through a real API and a permissions model — the same way you can. It's what a task manager looks like when you design for a human and an agent working the same queue.
Most "AI to-do apps" are a chat window that returns text. TaskPilot inverts that: the agent gets first-class, permissioned access to the same surfaces you use — create tasks, derive sub-tasks, execute agent-eligible work, manage your calendar — through four interfaces that all hit the same core:
MCP server — 13 tools, so any MCP-aware client (Claude, etc.) can operate TaskPilot directly.
HTTP API — a local REST API on :7847 with bearer auth.
File I/O protocol — a watched io/ directory, so agents can work even when the app is closed.
Desktop GUI — an Electron app with a keyboard-first, review-gated workflow.
Related MCP server: Todoist MCP Server
Local-first & private — SQLite on disk, no cloud dependency, no account required.
Agent runner with a permissions model — every agent action is scoped by an explicit permission profile (allowed tools, workspace, network, denied globs). Nothing runs unsandboxed.
Derive → review → execute loop — break a task into sub-tasks, approve them, and let an agent execute the agent-eligible ones. Irreversible actions are gated behind human review.
Calendar + availability — events, free/busy, and scheduling that tasks can hook into.
Goals & projects — group work into initiatives and track progress.
Integrations — GitHub, Gmail (draft-only by default), Slack, Notion (one-way mirror), calendar.
Full-text search, cost tracking, decision logs, phase pipelines for content/dev work.
TypeScript (strict) · Electron · React + Tailwind · better-sqlite3 + Drizzle · Model Context Protocol SDK · Vite · Vitest
npm install
npm run dev # Vite + Electron in dev
# or build and run:
npm run build && ELECTRON_PROD=1 npx electron .The HTTP API comes up on http://localhost:7847; MCP server via npm run mcp.
┌─────────────┐ ┌──────────────┐ ┌─────────────┐ ┌──────────────┐
│ Electron │ │ HTTP API │ │ MCP server │ │ File I/O │
│ GUI │ │ :7847 │ │ (13 tools) │ │ io/ watcher │
└──────┬──────┘ └──────┬───────┘ └──────┬──────┘ └──────┬───────┘
└─────────────────┴──────────────────┴─────────────────┘
│
┌────────────▼────────────┐
│ Core: tasks, calendar, │
│ goals, permissions, │
│ agent runner (SQLite) │
└──────────────────────────┘MIT
Built by Jack Gierlich. TaskPilot is a working tool I use daily; it's shared as an example of local-first, agent-operable software design.
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If you are the server author, to access and configure the admin panel.
AI-native task management: list, create, update and archive tasks with rich context for AI agents
Calendar API for AI agents: events, availability, Google/Microsoft setup, scheduling, and iCal.
Task management for people and AI agents, with scoped OAuth access to issues, projects, and docs.
ADHD system of record for agents: tasks, goals, loops, calendar, focus stats.
