"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.

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

Enables scheduling and todo management via MCP, allowing users to add reminders, view tasks, and mark completion through natural language.

Enables Claude Code to maintain a persistent todo list stored in SQLite, with tools to list, search, add, update, complete, and delete todos across sessions.

An MCP server that integrates with the mcp-todo app to manage tasks and memos through natural language. It allows users to list, create, update, and delete todos and notes using a Workspace ID.

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.

Enables AI assistants to manage Notion tasks, projects, and courses through MCP, allowing creation, retrieval, and filtering of tasks.

A custom MCP tool that integrates Perplexity AI's API with Claude Desktop, allowing Claude to perform web-based research and provide answers with citations.

Provides live wait times and office details for all 60 Oregon DMV field offices by scraping the ODOT website, with no authentication required.

AI-powered video editing toolkit: scene splitting, subtitle generation, thumbnail planning, color grading, and aspect ratio conversion.

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 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 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.

A Model Context Protocol (MCP) server that learns from your video editing behavior and provides intelligent assistance for film and television post-production workflows.

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 users to manage a todo list with add, list, complete, delete, and clear completed operations, persisting todos to a JSON file.

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

Upload, edit, and generate videos from everyone's favorite LLM and Video Jungle.

A stateful todo-list MCP server that allows adding, listing, completing, and deleting tasks with priority levels, and exposes a markdown resource of the current board.

Manages TODO tasks with operations like add, list, complete, update, and delete, stored in a JSON file.