"Todo List for Remote Management of MCP" 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 Model Context Protocol (MCP) server that provides tools for managing todo items, including creation, updating, completion, deletion, searching, and summarizing tasks.

A TypeScript-based MCP server that enables users to manage tasks through natural conversation with Claude. Features complete CRUD operations, priority management, tagging, search functionality, and intelligent productivity insights with robust Zod validation.

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

Enables AI assistants to manage todo lists through natural language by creating, listing, updating, completing, and deleting tasks stored in Firebase Firestore. Supports custom system prompts for personalized task management workflows.

An MCP server that enables AI agents to manage a TODO list with user authentication via Stytch. It provides tools for creating, reading, updating, and deleting TODO items while handling identity and authorization.

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.

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 comprehensive Microsoft To Do task management through Microsoft Graph API with Entra ID OAuth authentication. Supports creating, updating, and managing todo lists, tasks, reminders, and due dates through natural language.

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 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.

A demo MCP server exposing an in-memory todo list via tools (add_task, list_tasks, complete_task), a resource, and a prompt, over both stdio and HTTP transports.

Enables creating interactive tier lists in MCP-compatible chats, ranking options into tiers via drag-and-drop or chat, undoing changes, and exporting results as PNG images.

A distributed task management server that provides todo list operations with AI-powered task prioritization using OpenAI, built on Redis for shared state across multiple nodes.

A CRUD todo list server that exposes tools to create, list, and conclude tasks, compatible with any MCP host.

MCP server for managing a todo list with gamified pomodoro features, exposing set_tasks and list_tasks tools.

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 agents to discover x402 payment services and query on-chain-verified settlement volumes per facilitator through the Model Context Protocol.

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

Supply chain risk scoring for npm, PyPI, and GitHub repos