"A tool or app for saving and editing todo tasks" matching MCP servers:

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

A todo list manager for Creature with interactive UI, batch operations, full-text search, and markdown descriptions, enabling natural language task management.

Enables real-time AI editing assistance in the WordPress block editor, allowing Claude to proofread, review, edit, translate, compose, and prepare posts for publishing.

Enables AI agents to perform exact-match, transactional multi-file edits with atomic writes, dry-run diffs, and self-correcting error diagnostics that reduce token usage.

An MCP server that exposes outputty's task tracker as typed tools backed by GitHub Issues, allowing coding agents to manage tasks with two-way sync.

Enables users to manage a persistent todo list through natural language, supporting adding, listing, toggling completion status, and removing todos. Features both stdio and HTTP transports with optional authentication and JSON file storage.

This server provides a Model Context Protocol interface for a local task management service. It enables AI assistants to manage tasks, organize projects, and view daily schedules through a robust set of provided tools.

Enables managing tasks in a structured TODO.md file through MCP tools for listing, adding, updating, setting status, logging notes, searching, and removing tasks while preserving hand-authored formatting.

MCP server for agentic task orchestration and management, enabling AI agents to create goals, plan tasks with acceptance criteria, track dependencies, request human input, and provide proof of completion.

A Todo app leveraging MCP Apps to provide interactive UI within conversations, allowing users to manage todos via Claude Desktop or Claude Code.

A demo MCP server that exposes a shared todo list as tools over Streamable HTTP, enabling agents to list, add, complete, and delete todos alongside a Next.js web UI.

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

A simple, powerful Todo list manager for Claude Desktop and other MCP-compatible AI assistants. Organize your tasks across different projects with priorities and never lose track of what needs to be done!

Enables AI agents to manage a consumer todo list through an authenticated MCP endpoint backed by Workers KV and Stytch-managed user and client identity.

Enables Claude to read, create, and complete tasks in a personal Microsoft To Do account through the Microsoft Graph API, including lists, daily and overdue tasks, due dates, reminders, notes, and checklist steps.

A Cloudflare Workers server that extends a traditional full-stack TODO application with Model Context Protocol support, enabling AI agents to interact with the app through Stytch authentication.

Enables LLMs to perform addition calculations through a stdio-based MCP server with an add_numbers tool and type-safe validation.

A Model Context Protocol server for managing todo lists and items with advanced features including task assignment, priorities, recurrence, filtering, and webhook notifications.

Enables AI assistants to manage task lists, tasks, subtasks, due dates, notes, and completion through the Google Tasks API, including reversible completion and syncing changes.

An MCP server that lets Claude manage Google Tasks, including listing, creating, updating, completing, moving, and deleting tasks and task lists. It supports both local and remote deployments and can be used with Claude Desktop or as a Cloudflare Worker.

MCP server for Google Tasks that enables reading, creating, editing, completing, reordering, and deleting tasks via the Google Tasks API.

Scans codebases for TODO comments and exposes them as structured data to LLMs, enabling AI assistants to inspect, prioritize, and propose fixes.

A comprehensive and efficient Model Context Protocol server for task management that works with Claude, Cursor, and other MCP clients, providing powerful search, filtering, and organization capabilities across multiple file formats.

A tool discovery MCP server that integrates with Azure DevOps wikis and code-graph-rag to match natural language goals to tools, enabling tool composition and proxy testing.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

An MCP server that allows AI assistants to manage todo lists stored in a simple markdown file, supporting creation, reading, updating, and deletion of todo items with persistent IDs.

Enables LLMs to read and write local user data, generate fake users via sampling, and interact with structured prompts and resources.

A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.

A multi-node todo application server using MCP protocol, Redis for storage, and OpenRouter for AI-powered prioritization analysis.

Enables AI assistants to manage Google Tasks (list, create, complete, delete tasks) through the Model Context Protocol.