MCP Todo.txt Integration
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Alternatives to MCP Todo.txt Integration
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- AlicenseAqualityDmaintenanceA Python MCP server that enables AI assistants to manage Todoist tasks and projects through the Model Context Protocol. It supports full CRUD operations for tasks and projects, including support for nested projects and Todoist's advanced filter syntax.11MIT
- FlicenseAqualityCmaintenanceA small Model Context Protocol (MCP) server that lets an AI assistant manage a to-do list on your behalf.4-
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol (MCP) server that provides tools for managing todo items, including creation, updating, completion, deletion, searching, and summarizing tasks.6 npm46MIT
- AlicenseBqualityDmaintenanceA Model Context Protocol server implementation compatible with Todoist API, allowing AI agents to interact with task management functionality through standardized MCP tools.57 npm1MIT
- AlicenseNot gradedqualityDmaintenanceA persistent todo list server that enables AI assistants to manage tasks across different platforms using the Model Context Protocol. It provides tools for creating, listing, updating, and deleting todos with support for priorities, tags, and due dates.MIT
- AlicenseNot gradedqualityFmaintenanceA Model Context Protocol server that enables advanced task and project management in Todoist via Claude Desktop and other MCP-compatible clients.195 npm2MIT
TDQS
Scored across 11 tools
Most tools have clear, distinct purposes (add, update, delete, complete, list, search, sort, filter, metadata operations). However, filter-tasks and list-tasks overlap somewhat since list-tasks already supports filtering by priority, context, project, or metadata, which could cause an agent to pick the wrong one.
Tool names consistently use a verb-noun pattern (add-task, update-task, delete-task, list-tasks, search-tasks, sort-tasks, complete-task). Minor deviations: batch-operations is a noun phrase rather than verb-noun, and filter-tasks overlaps with list-tasks' filtering capability.
11 tools is a reasonable count for a todo.txt server covering task CRUD, metadata, search, sorting, filtering, and batch operations. It is slightly on the higher side but each tool addresses a distinct operation, so the count feels appropriate.
The tool set covers the core todo.txt lifecycle well: add, list, update, complete, delete, search, sort, filter, and metadata management. Minor gaps include no explicit undo/reopen-completed-task operation and no way to move tasks between lists, but these are not critical for a todo.txt integration.