"TUI" matching MCP servers:

Review & approve AI agent task plans in a ComfyUI-style node editor, right in your terminal (MCP server + TUI)

MCP server that launches and supervises coding-CLI subagents (claude, opencode) in detached tmux windows, collapsing the ceremony of starting a TUI coding assistant into a single tool call.

Lets AI agents drive terminal apps built with Limoni (a Go TUI engine) through their semantic tree instead of scraping the screen: widgets are found by role and label, clicked, typed into, and waited on. Runs locally over the app's automation socket; secret fields never reach the agent.

Enables autonomous job search by scanning, scoring, and applying to jobs via APIs like Ashby, Greenhouse, and Lever, with a TUI dashboard for tracking.

A local-first task manager with SQLite backend, exposed as CLI, TUI, and MCP server. Enables AI assistants to manage tasks via tools for add, edit, search, plan, and more.

Enables bounded planner-to-coder-to-reviewer workflows with real file tools and a host-enforced verification gate, using Ollama by default. It supports CLI, TUI, and MCP stdio, plus bidirectional Rose/Neovim editor integration.

Provides semantic code intelligence tools (search, structural views) and a workspace TUI interface for LLM agents to efficiently navigate codebases, manage context, and maintain architectural patterns across Python, Java, C++, and Perl projects.

Enables MCP clients to delegate bounded tasks to a local OpenCode worker while monitoring progress, reviewing evidence, and managing session rework or recovery. It also supports persistent TUI tabs for delegated task workspaces.

Enables inspection and control of a running OpenCode TUI session, including live pane capture, prompt injection, interrupting turns, and blocking waits for session state changes.

Enables Claude Code to act as an autonomous Telegram agent with tools for replying, reacting, editing messages, searching history, and handling attachments. Includes a TUI watchdog for unattended operation.

Enables AI agents to automate GUI interactions across Windows, Linux, macOS, Android, iOS, and browsers using structured platform APIs first, with vision grounding as a fallback for robust cross-platform computer use.

A foundation for building interactive applications using the Model Context Protocol that integrates AI capabilities with Magic UI components.

Provides professional UI/UX design expertise and frontend development tools for analyzing interfaces, generating design systems, and creating modern components with accessibility and best practices built-in. Supports React, Vue, Angular and other frameworks with seamless Claude Code CLI integration.

Transforms any compatible LLM or AI Assistant into a master orchestrator of CrewAI, providing tools to dynamically generate, edit, test, and execute multi-agent systems.

Provider agnostic ai orchestrator layer, kagan mcp allows controlling orchestrating and spawning subagents via mcp associated with tasks in kanban board that is accessible via kagan cli executable that bundles a chat repl, tui , mcp and a web client in a single uv tool install kagan wheel. Give it a try and submit feedback and feature requests! Consider starring the repo, its a free oss MIT based.

A Model Context Protocol server that enables AI agents to generate, fetch, and manage UI components through natural language interactions.

Enables MCP-capable agents to locate and interact with Android and Windows GUI elements semantically—tapping, typing, waiting, and asserting—without hard-coded coordinates or model-based element localization.

Serves coding agents the annotations users leave on elements of a running dev app, including the element selector, DOM context, component name and exact source file:line. Agents can list and watch for pending feedback, link a page to their repository, and acknowledge, reply to, resolve or dismiss each annotation so the thread resolves on the page.

Small MCP server for GNOME Wayland desktop automation, enabling element lookup, activation, typing, screenshots, and wait helpers through AT-SPI and Mutter RemoteDesktop.

Enables remote monitoring and control of a local Claude Code agent fleet via MCP, with voice-friendly status summaries and strict command allowlisting.

Enables AI to operate Windows applications through recursive grid-based screenshot navigation and proportional coordinates, with UIAutomation, mouse/keyboard control, sequential batch actions, and input locking.

Enables AI coding agents to request user input through customizable desktop forms, returning structured data.

Enables an interactive Claude Code session to delegate blocking tasks to headless pi and OpenCode workers, and lets all three peers exchange messages and list paired sessions over a shared local file bus. It exposes 18 tools covering sync/async asks, steering, abort, session lifecycle, state inspection, and cross-agent messaging.

An MCP-based tool orchestrator that exposes a single execute_task tool to Claude while internally managing 100+ tools through hierarchical navigation with a cheaper LLM, preventing context overflow from loading all tool definitions.

Enables AI agents to autonomously debug UIs by delegating high-level stories to a small agent that drives browsers or desktop apps and reports structured pass/fail findings with evidence.

Enables LLM orchestrators to delegate low-level GUI subtasks such as clicking, typing, and form filling to a local vision-language policy through a single MCP tool call, avoiding per-action round trips.

An MCP server that provides shared memory and state projection for multi-agent collaboration, enabling agents to read/write an append-only task log and derive workflow state automatically.

Enables AI assistants to control Windows GUI by listing and focusing windows, capturing element snapshots via UIA/OCR/CDP, performing clicks/inputs/scrolls, verifying changes, waiting for screen updates, taking screenshots, and obtaining visual descriptions.

Enables AI models to manage Robinhood portfolios, execute trades, and run automated trading bots with stop-loss/take-profit monitoring.