castella-mcp

Expose Castella UI resources and tools to AI agents via MCP.

41|1|Updated May 21, 2022
One-click install
npx skills add https://github.com/i2y/castella --skill castella-mcp
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: castella-mcp
Source: https://github.com/i2y/castella/tree/main/skills/castella-mcp
Command: npx skills add https://github.com/i2y/castella --skill castella-mcp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

AI agents often struggle to observe and influence Castella UIs in a standardized, safe way. This skill provides a Model Context Protocol (MCP) integration to expose UI structure, resources, and tooling to automation and AI planners.

Core Features & Use Cases

  • MCP server creation for Castella apps
  • Expose UI resources and semantic IDs for AI consumption
  • Tool invocation and UI control via the MCP interface
  • Optional SSE or stdio transports for remote and local clients
  • Use Case: automate UI testing and AI-guided UI exploration

Quick Start

Run the CastellaMCPServer alongside your UI to expose UI resources and tools to an AI agent via MCP.

Frequently Asked Questions about castella-mcp

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate UI testing with an AI agent using MCP?

You can automate UI testing by running the CastellaMCPServer alongside your UI to expose UI resources and tools to an AI agent via MCP, enabling automated UI exploration and AI-guided control.

What is MCP server integration for UI automation?

MCP server integration for UI automation exposes UI structure, resources, and tooling to AI planners via the Model Context Protocol, standardizing how agents introspect and safely control application interfaces.

Does the MCP server support SSE and stdio transports?

Yes, the CastellaMCPServer supports both SSE and stdio transports, allowing remote and local clients to connect for AI-driven UI control and exploration across Castella apps.

How do I expose UI semantic IDs to an AI agent?

You expose UI semantic IDs to an AI agent by running the CastellaMCPServer alongside your Castella app, which applies semantic ID mapping to make UI elements identifiable and consumable by AI.

Can I use Python to build an MCP server for UI control?

Yes, you can use Python to build an MCP server for UI control. This skill provides a Python-based CastellaMCPServer that enables tool invocation and UI control via the MCP interface.

Why use semantic ID mapping for AI-driven UI exploration?

Semantic ID mapping for AI-driven UI exploration ensures agents reliably identify and interact with specific UI elements, solving the problem of agents struggling to observe and influence UIs in a standardized way.