Google Tasks MCP Server

The Google Tasks MCP server bridges the gap between an AI assistant and the Google Tasks API, providing a seamless way to manage personal or team task lists directly from conversational agents. By exposing a set of intuitive tools—search, list, create, update, delete, and clear—the server turns routine task‑management operations into natural language commands that an AI can interpret and execute on behalf of the user. This eliminates the need for developers to write custom OAuth flows or REST wrappers, allowing rapid integration of task automation into AI‑driven workflows.

At its core, the server offers a rich resource model: each task is represented by a unique URI (), enabling the assistant to reference, read, or modify a specific item. The tools are designed for clarity: accepts a simple query string and returns matching tasks with full metadata; streams all items, optionally paginated via a cursor; and , , and expose the full set of task properties—title, notes, due date, status—while keeping the API surface minimal. The tool provides a bulk operation to purge completed tasks, which is especially handy for maintaining clean task lists without manual cleanup.

Developers can embed this server into any AI workflow that supports MCP, such as Claude Desktop or other Smithery‑powered assistants. The server handles OAuth authentication once and then serves authenticated requests, making it ideal for both personal productivity tools and enterprise task‑management integrations. For example, a project manager could ask the assistant to “create a new task for the next sprint” and the server will translate that into an authenticated POST to Google Tasks, returning a confirmation that can be spoken back or logged.

Unique advantages include the server’s declarative resource definition, which allows AI agents to treat tasks as first‑class objects they can navigate and manipulate. The clear separation of tools from resources means developers can extend or restrict capabilities without touching the core protocol. Additionally, because the server is built on Smithery’s MCP framework, it benefits from automatic versioning, secure credential storage, and easy deployment via the Smithery CLI—streamlining both development and production use.

In real‑world scenarios, this MCP server powers applications such as automated meeting follow‑ups (where action items are created from discussion points), task synchronization across devices, and voice‑activated productivity assistants that keep a user’s to‑do list up‑to‑date. By providing a ready‑made, authenticated bridge to Google Tasks, the server lets developers focus on conversational logic and user experience rather than plumbing details.