A
licenseNot graded
qualityC
maintenanceAn MCP server that manages a TODO list with user authentication via Stytch, enabling AI agents to interact with a full-stack application.
MIT
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"Todo List for Remote Management of MCP" matching MCP servers:
- AlicenseNot gradedqualityDmaintenanceAn 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.27MIT
- FlicenseBqualityDmaintenanceEnables 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.4
- AlicenseNot gradedqualityCmaintenanceA 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.8MIT
- 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
- FlicenseNot gradedqualityCmaintenanceA simple MCP server for managing a todo list — add tasks, list tasks, and mark tasks complete. Built with the Python MCP SDK (FastMCP) as a hands-on learning project.
- FlicenseNot gradedqualityCmaintenanceA simple MCP server that turns a JSON file into a todo list, letting users add, list, complete, delete, and clear tasks through natural language in MCP-compatible clients.
- FlicenseNot gradedqualityBmaintenanceMCP server that acts as an adapter to a shopping list web application, using OAuth 2.1 with Keycloak for secure authorization.
- FlicenseNot gradedqualityBmaintenanceMCP server for managing a todo list with gamified pomodoro features, exposing set_tasks and list_tasks tools.
- AlicenseNot gradedqualityCmaintenanceEnables 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.8MIT
- AlicenseNot gradedqualityCmaintenanceA 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.1ISC
- AlicenseNot gradedqualityBmaintenanceA remote MCP server for Microsoft To Do that enables read/write access to tasks, lists, and checklists from ChatGPT or Claude, with multi-account support and Azure deployment.31MIT
- AlicenseNot gradedqualityDmaintenanceA production-ready Model Context Protocol server for managing tasks and todos with support for both file-based and database storage backends. It enables users to perform bulk operations, track priorities, and access productivity analytics through a structured management system.MIT
- FlicenseNot gradedqualityDmaintenanceA multi-node todo application server using MCP protocol, Redis for storage, and OpenRouter for AI-powered prioritization analysis.
- FlicenseNot gradedqualityBmaintenanceExposes your todo-tree task list as MCP tools for reading and managing tasks via MCP-compatible AI clients like Claude Desktop.
- FlicenseNot gradedqualityCmaintenanceFastAPI Todo API with an MCP server for managing todos, deployable to Render, AWS App Runner, or ECS.
- FlicenseNot gradedqualityBmaintenanceEnables scheduling and todo management via MCP, allowing users to add reminders, view tasks, and mark completion through natural language.
- AlicenseAqualityAmaintenanceProvides MCP-compatible AI clients with full access to a Flarum forum's API, enabling reading, searching, creating discussions, replying, moderation, and management of users, tags, and groups.152MIT
- AlicenseAqualityDmaintenanceManage Job using MCP: Manage Job, Candidates, Resumes, Salaries all within this one MCP tools It can solve problems like: You have 50 resumes to screen. Your AI assistant can reason about candidates, but it can't: Read PDFs/DOCX — The AI can't open binary files Extract structured data — Copy-pasting loses formatting, metrics, and context Compare at scale — No consistent scoring across candida24491MIT
