textual-mcp-server

An MCP server that lets AI agents launch, interact with, and inspect Textual TUI applications headlessly. Drive any Textual app through its full lifecycle — click buttons, type text, read widget state, take screenshots — all via the Model Context Protocol.

Features

• Headless app execution — Launch any Textual app without a terminal, powered by Textual's built-in Pilot testing API
• Full interaction toolkit — Click, type, press keys, and hover over widgets using CSS selectors
• Rich state inspection — Snapshot the widget tree, query widgets by selector, and extract type-specific properties from 16+ widget types
• Multi-session support — Run multiple apps concurrently with isolated sessions
• Error tracking — Automatic collection of worker errors and app exceptions via message hooks
• Screenshot capture — Export the current screen as plain text or SVG

Installation

Requires Python 3.10+.

pip install textual-mcp-server

For development:

git clone https://github.com/discohead/textual-mcp-server.git
cd textual-mcp-server
pip install -e ".[dev]"

Quick Start

As a standalone server

textual-mcp

With Claude Code

Add to your MCP configuration (e.g., ~/.claude.json or project .mcp.json):

{
  "mcpServers": {
    "textual": {
      "command": "textual-mcp"
    }
  }
}

Typical workflow

1. textual_launch("my_app.py")         → session_id
2. textual_snapshot(session_id)         → widget tree + focus + bindings
3. textual_click(session_id, "#submit") → interact
4. textual_screenshot(session_id)       → visual output
5. textual_stop(session_id)             → cleanup

Tools

Lifecycle

Interaction

Observation

Assertion & Waiting

Architecture

textual_mcp/
├── server.py              # FastMCP server, tool registration, and tool implementations
├── session.py             # AppSession — headless app lifecycle via Pilot
├── session_manager.py     # Multi-session management
├── app_loader.py          # Dynamic app loading from file or module path
├── error_collector.py     # Message hook for worker error aggregation
└── serializers/
    ├── widget_tree.py     # DOM → indented text tree with [ref=N] markers
    └── widget_state.py    # Type-specific property extraction (16 widget types)

Key design decisions:

• AppSession wraps Textual's App.run_test() to provide launch/stop semantics with a persistent Pilot handle
• WidgetTreeSerializer produces LLM-friendly text output — interactive widgets get [ref=N] markers; scrollbars and hidden widgets are excluded
• WidgetStateExtractor uses an ordered isinstance registry to extract properties from Input, Button, DataTable, TextArea, Tree, and 11 other widget types
• ErrorCollector hooks into Textual's message system to capture Worker.StateChanged errors without disrupting normal operation

Supported Widget Types

The state extractor provides rich property data for:

Input, Button, Static, Label, Checkbox, Switch, Select, TextArea, DataTable, Tree, ListView, OptionList, TabbedContent, ProgressBar, RadioSet, ContentSwitcher

Development

# Run tests
pytest

# Run a specific test
pytest tests/test_integration_calculator.py -v

Requirements

• Python >= 3.10
• mcp >= 1.0.0
• textual >= 1.0.0

License

MIT