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Manage Todoist tasks, projects, and labels using natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "todoist-mcp" yet — see the docs or source repo.
Please read my Todoist, find all overdue or due-today incomplete tasks, group them by project, and add the label "urgent" to all high-priority tasks.
A project-grouped task list is returned, and the relevant labels are updated.
Create a new Todoist project called "Product Launch" and add five tasks: write announcement, prepare assets, check links, schedule publish time, and retrospective summary; set them all due next week.
The project and preset tasks are created automatically with the requested due dates.
Review label usage in my Todoist, list duplicate or rarely used labels, and rename every instance of "Pending Follow-up" to "In Progress Follow-up".
A label usage analysis is produced, and the specified label is renamed.
Manage Todoist tasks, projects, labels, and comments through an MCP server.
Manage cross-project tasks, priorities, and progress with an AI-friendly todo tool.
Enable AI agents to query, add, and modify Todoist tasks naturally.
Let AI read and manage your todo-tree tasks through MCP.
Manage local todo lists through natural-language creation, updates, and queries.
Use natural language to automate local text, math, and todo tasks.