# textual-mcp-server

> Use this tool when you need to automate interactions with Textual TUI applications or test their functionality in a headless environment. It solves problems related to automating user interfaces, testing, and integration of TUI applications, allowing AI agents to launch, interact with, and inspect them programmatically. The tool accepts input commands and outputs application state and interaction results, making it ideal for use cases requiring automated TUI application testing and integration.

Canonical page: https://skillsregistry.net/skills/discohead-textual-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/discohead-textual-mcp-server

## Description

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

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ga0o3rs5t2)
- **Repository:** <https://github.com/discohead/textual-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "discohead-textual-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/discohead-textual-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/discohead-textual-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt