"A tool or application for creating a to-do list" matching MCP servers:

Enables to manage to-do items through natural language, with tools for creating, reading, updating, and deleting tasks.

Enables AI clients like Claude to read and manage Microsoft To Do task lists and tasks via the Microsoft Graph API, running locally over stdio with secure token storage.

Enables AI agents to manage job applications, documents, and contacts via the Application Tracker workspace, with read-only or write access controlled by administrator settings.

A privacy-first MCP server for locally managing job, fellowship, and graduate-school applications. It offers tools for tracking application status, analyzing role fit, generating LaTeX CV/cover letters, interview prep, and discovering public jobs from ATS APIs.

MCP server for Microsoft To Do via Microsoft Graph. MSAL device code flow, no client secret needed.

it is a simple to-do list CRUD MCP Server

Open-source MCP server that connects AI assistants to Fizzy (Basecamp's task management) with 70+ tools for boards, cards, workflows, and AI-powered project management.

A simple, beginner-friendly Model Context Protocol (MCP) server written in Python. It lets any MCP-compatible AI client (like Claude Desktop) manage a to-do list on your computer through five tools: add, view, get by ID, complete, and delete.

Manages a persistent todo list with SQLite storage, reminder notifications, and cross-platform sound alerts.

A Model Context Protocol (MCP) server that provides tools for managing todo items, including creation, updating, completion, deletion, searching, and summarizing tasks.

A Model Context Protocol (MCP) server that enables AI assistants like Claude and Cursor to interact with Microsoft To Do via the Microsoft Graph API.

MCP server that exposes a TODO list API to AI assistants, enabling natural language management of tasks with create, read, update, and delete operations.

MCP server for Redmine that enables interaction with issues, wiki pages, and time entries through natural language.

An MCP server that manages a TODO list with user authentication via Stytch, enabling AI agents to interact with a full-stack application.

Provides a self-hosted shared work queue for AI agents via MCP, using a local SQLite database for task management.

One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose

Project management and session memory for AI agents that provides 13 tools for tracking projects, tasks, and context during AI coding sessions.

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.

MCP for Azure DevOps Boards is a MCP server that lets your favourite AI browse, query and update Azure DevOps work items as if it were a project manager. Written in Rust and optimized for tokens usagem, It runs via stdio or HTTP mode and uses standard Azure authentication with az login.

Enables AI-powered project management by connecting Claude to Planka kanban boards via 75+ MCP tools for creating, updating, and managing projects, boards, lists, and cards.