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Let AI read and manage Google Tasks and task lists.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Google Tasks MCP" yet — see the docs or source repo.
Read my Google Tasks, find incomplete tasks due today, organize them by priority, and move low-priority ones to the “Later” list.
Lists today’s tasks and updates their order and list placement.
Create a Google Tasks list named “Product Launch” and add these tasks: prepare announcement, verify analytics, update help docs.
Creates a new task list and adds the specified tasks.
Read the “This Week” list, mark tasks tagged as “done” complete, and delete duplicates.
Updates completion status and removes duplicate tasks.
Office workers or students can let AI read and organize their Google Tasks to reduce manual task maintenance. It fits everyday actions such as creating, editing, completing, and deleting tasks.
Product managers or other knowledge workers can ask AI to move tasks across lists by project or phase and maintain multiple task lists. This is useful for quickly reassigning work between lists.
When users prefer managing work in natural language, this MCP tool lets AI execute concrete task operations through the Google Tasks API. It is useful for turning written or spoken instructions into task list updates.
It enables AI agents to read and manage a user’s Google Tasks. Based on the provided description, it supports creating, editing, completing, moving, and deleting tasks and task lists.
The provided description says it works through the Google Tasks API. That means the AI can perform actual task-management actions, not just provide suggestions.
The provided materials do not include installation steps, authentication details, or runtime requirements. For exact prerequisites, see the source repository.
Securely manage Google Tasks lists and tasks with full CRUD automation.
Enable AI agents to query, add, and modify Todoist tasks naturally.
Manage tasks, read summaries, and run planning or review prompts via natural language.
Give AI agents MCP tools for task management and document retrieval.
Create hierarchical task lists, break down work, and track priorities and progress.
Manage todo lists and tasks with natural language commands.