"Designing UI (User Interfaces)" matching MCP servers:

Enables ZenTao user administration, including token retrieval, user queries, and user creation/update/delete, over stdio or Streamable HTTP transports.

MCP server providing feedback-oriented development workflows with a Web UI and desktop application for interactive user confirmation, session tracking, and smart prompt management.

Kanban for agentic development over MCP — annotate any UI element into a ticket with file and line.

Enables MCP clients to manage Things 3 tasks locally on macOS, including searching, creating, editing, scheduling, moving, completing, and trashing tasks through supported automation interfaces.

Enables AI agents to access and modify Todoist accounts to manage tasks and projects on the user's behalf. It provides a suite of tools for task operations and supports interactive UI widgets for a rich visual experience in AI chat interfaces.

A task management server that helps AI assistants break down user requests into manageable tasks and track their completion with user approval steps.

A task management Model Context Protocol server that helps break down user requests into manageable tasks with subtasks, dependencies, and notes, while enforcing a structured workflow with user approval steps.

Implements Model Context Protocol (MCP) to enable interaction with CODING DevOps platform through standardized interfaces for managing projects and work items.

A Model Context Protocol server that enables automation and management of OmniFocus tasks, projects, and tags using natural language and programmable interfaces from VS Code, command line, or any MCP-compatible client.

Enables Google Developer Experts to report various activities (content creation, speaking engagements, workshops, mentoring) through AI conversational interfaces by connecting Advocu API with Model Context Protocol.

Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor. This is especially useful for developing desktop applications that require complex user interactions to test.

A Model Context Protocol server that enables AI interfaces to seamlessly interact with Plane's project management system, allowing management of projects, issues, states, and other work items through a standardized API.

A Model Context Protocol server that enables AI assistants like Claude to interact directly with Planka Kanban boards, allowing automated management of projects, tasks, and workflows through conversational interfaces.

Provides tools for AI assistants to interact with the Dida365 (TickTick) task management API, allowing management of tasks and projects after user authorization.

MCP server for Beans issue tracker, providing programmatic and CLI interfaces for AI-powered interactions with Beans workspaces.

Provides an MCP Apps interface to the Upvote Club API, enabling task management with an inline progress card UI in Claude.

A Model Context Protocol server for interacting with Redmine using its REST API, enabling the management of tickets, projects, and user data through integration with LLMs.

A local-first Kanban board for AI agents that enables ticket management via MCP tools, with a real-time web UI.

A kanban board MCP server that lets Claude Code manage tasks through a local web UI, including claiming, submitting, and querying tasks with automatic git branch and PR creation.

Turn your LLM into an agile project management assistant for user story creation, sprint planning, and progress tracking, all with local storage.