textual-mcp-server

textual-mcp-server

An MCP server that lets AI agents launch, interact with, and inspect Textual TUI applications headlessly.

Category
Visit Server

README

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

claude mcp add textual -- textual-mcp

Or add manually 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

Tool Description
textual_launch Launch a Textual app headlessly. Accepts a file path (app.py), path with class (app.py:MyApp), or module path (mypackage.module:MyApp). Returns a session_id.
textual_stop Stop a running session and return any collected errors.

Interaction

Tool Description
textual_press Simulate key presses (e.g., ["enter"], ["ctrl+s"]).
textual_click Click a widget by CSS selector with optional offset and repeat count.
textual_type_text Type text into the focused input widget, with optional submit (Enter).
textual_hover Hover the mouse over a widget by CSS selector.

Observation

Tool Description
textual_snapshot Snapshot the widget tree with ref markers, focus state, active key bindings, and errors.
textual_screenshot Capture the current screen as plain text or SVG.
textual_query Query widgets matching a CSS selector. Returns type, ID, classes, and extracted properties.
textual_get_screen_stack Get the current screen stack with modal indicators.

Assertion & Waiting

Tool Description
textual_wait_for Wait for a condition: idle, animation, workers (all complete), or widget (selector appears).
textual_check_errors Check for collected worker errors and app exceptions.

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

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured