My Tasks MCP Server

Overview

The My Tasks MCP server provides a lightweight, Google‑Sheets‑backed task management interface that can be queried and updated by AI assistants such as Claude. By exposing a simple set of resources—tasks, status updates, and comments—the server turns an ordinary spreadsheet into a collaborative to‑do list that AI agents can read from and write to in real time. This solves the common problem of “how do I give an AI a persistent, editable workspace for user tasks?” without requiring a full‑blown database or backend service.

What the server does

When launched, the MCP server authenticates with a Google Service Account and connects to a spreadsheet named “MyTasks.” Each row in the sheet represents an individual task, with columns for title, description, due date, priority, and completion status. The server exposes these rows as a resource collection via the MCP protocol. An AI assistant can issue read or write commands: fetch all pending tasks, update a task’s status to completed, add a new row for a new assignment, or delete an obsolete item. Because the data lives in Google Sheets, it is instantly shareable with team members and automatically synchronized across devices.

Key features in plain language

• Spreadsheet as a database – No custom database setup; Google Sheets is the persistent store.
• CRUD operations via MCP – Create, read, update, and delete tasks through standardized resource calls.
• Real‑time collaboration – Changes made by the AI or a human user appear instantly for everyone with access.
• Simple authentication – Uses a service account JSON file; no OAuth dance needed for the server.
• Lightweight deployment – Runs as a single Python script with minimal dependencies, making it easy to integrate into existing workflows.

Real‑world use cases

• Personal productivity – A user can ask Claude to add a new grocery list item or mark a task as done, and the changes are reflected immediately in their sheet.
• Team project tracking – Project managers can let an AI assistant update task statuses or generate status reports based on the sheet’s data.
• Automated reminders – The AI can scan for upcoming due dates and prompt the user with reminders or reschedule tasks directly in the sheet.
• Data export – Because the data remains in Google Sheets, it can be exported to CSV or integrated with other services (e.g., Zapier) without extra code.

Integration into AI workflows

Developers can add the My Tasks MCP to Claude Desktop or any other MCP‑compatible client by specifying a simple command in the configuration file. Once connected, AI agents can treat the task list as any other resource: they can query for tasks matching a keyword, add new entries via natural language commands, or modify existing ones. The server’s minimal overhead ensures that it does not become a bottleneck in the assistant’s response loop.

Unique advantages

The standout benefit of this server is its zero‑maintenance, spreadsheet‑based persistence. Teams that already use Google Sheets for planning can immediately expose their data to AI assistants without building new infrastructure. The server’s straightforward authentication and resource model also make it an ideal teaching tool for developers learning how to expose external data sources via MCP, while still being production‑ready for small teams or solo developers.