ketupia
MCP Serverketupiapublic

ash studio

An experimental or starter site aimed at building AI development tools for the Ash Framework

Repository Info

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Elixir
Language
MIT License
License

About This Server

An experimental or starter site aimed at building AI development tools for the Ash Framework

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

🧠 Ash Studio

This library is aims to build AI development tools for the Ash Framework. It is not an official Ash module.

Ideas

Resource browser, live updating on compile, bidirectional sync w/ source code, tracing of actions that execute as they execute, resource graph visualizer w/ canvas instead of mermaid, monitor reactors as they run etc.

The premise is to have a single set of Ash resources that can be used by

ToolUIChat BotMCP Server
ash.codegen --check
ash.codegen --dry-run
ash.codegen <migration_file>
ash.gen.domain <domain_name>
ash.gen.resource

🔧 Architecture Overview

  • Ash Framework — defines MCP services as embedded, stateless resources.
  • Ash AI — exposes the tools in a chat interface.
  • Phoenix LiveView — provides a chat interface and forms for human developers to interact with tools.

📍 Goals

  • Let AI agents safely interact with your dev environment using domain-aware tools
  • Provide consistent, convention-driven automation surfaces for common Ash/Phoenix tasks
  • Keep humans in the loop with a LiveView UI

📦 Status

This is an experimental playground — feedback and contributions welcome.

Github Repo

See it here - The site will spin down after a period of inactivity; give it time to rehydrate on first request.

Installation

Mix Dependency

  {:ash_studio, "~> 0.1", github: "ketupia/ash_studio", only: :dev},

Config

Add AshStudio.Tasks to your app's `:ash_domains`
```elixir
    config :your_app,
        ash_domains: [AshStudio.Tasks]
```

Add :ash_studio to your app's `:host_app` config
```elixir
    config :ash_studio,
        check_migrations: true,
        ash_domains: [AshStudio.Tasks],
        host_app: :ash_studio_demo,
        open_ai_model: "gpt-4o-mini"
```

Tailwind

Add ash_studio files to your module.exports
```
    module.exports = {
        content: [
            "../deps/ash_studio/**/*.*ex",
            // other content paths...
]

}


### Routes

    In your router file

    ```elixir
        import AshStudioWeb.Router

        ash_studio_routes(path: "/studio", pipe_through: [:browser])
    ```

    You must use `/studio` as the path presently.

### Open AI Config

    Add your OpenAI API key as an environment variable.
    e.g.
    ```
        System.put_env("open_api_key", "your key here")
    ```

    Specify the Open AI model to use
    ```elixir
        config :ash_studio, :open_ai_model, "gpt-4o-mini"
    ```

Quick Start

1

Clone the repository

git clone https://github.com/ketupia/ash-studio
2

Install dependencies

cd ash-studio
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Ownerketupia
Repoash-studio
LanguageElixir
LicenseMIT License
Last fetched8/10/2025

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