Todoist AI MCP Server
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- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to manage Todoist tasks, projects, sections, and labels through natural language, supporting task creation, updates, completion, and intelligent organization of your workflow.8 npmMIT
- AlicenseNot gradedqualityFmaintenanceEnables AI assistants to manage Todoist tasks, projects, sections, labels, and comments through natural language conversations, providing complete control over your productivity workflow via the Todoist API.146 npm7MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to manage Todoist tasks, projects, labels, sections, and comments through natural conversation. Supports comprehensive task operations including creation, updates, completion, and organization with natural language quick-add functionality.-
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to manage Todoist tasks, projects, comments, and labels through natural language commands. Provides complete CRUD operations securely via the Todoist REST API v2.Apache 2.0
- AlicenseBqualityDmaintenanceEnables AI assistants to manage Todoist tasks, projects, and labels through natural language. It provides a comprehensive suite of tools for task organization, productivity tracking, and structured workflows like daily planning.24178 npmMIT
- AlicenseNot gradedqualityCmaintenanceConnects AI assistants to Todoist for comprehensive task management, enabling natural language creation, updating, and organization of tasks, projects, sections, and labels.8 npm3MIT
TDQS
Scored across 47 tools
Several tools have overlapping retrieval purposes: fetch and fetch-object are near-duplicates, search overlaps with find-tasks/find-projects, and find-completed-tasks/find-activity can both answer completion questions. The descriptions help somewhat, but the boundaries are genuinely unclear until read closely.
Most tools follow a readable add-/find-/update- resource pattern, so the set is not chaotic. However, read operations mix get-, find-, list-, fetch-, and search, and a few names like project-management, project-move, and delete-object break the verb-first convention.
47 tools is far above the typical well-scoped MCP surface and fits the calibration threshold for too many. The broad Todoist domain justifies many resources, but duplicate fetch/search tools and five separate stats/health tools inflate the count without adding proportional capability.
The server covers the main Todoist lifecycle well: tasks, projects, sections, comments, labels, filters, reminders, activity, and collaboration all have create/read/update plus delete-object as a fallback. Minor gaps exist, such as no direct unfiltered list-all-tasks call and reminders only queryable by task, but agents can work around them.