• SCHEMA
  • CONTENT
  • METADATA
  • HUMAN

How to scaffold content from schemas with your AI

Connect Amplience once. From there, your AI reads your schema rules to build valid content objects.

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Short answer

How can I use my AI to scaffold content from Amplience schemas?

Your AI pulls structural metadata and schema locks directly from Amplience to ensure every JSON payload it generates is correctly typed. You get valid content objects that match your existing models. This ensures your data stays consistent without manual formatting.

The results.

Where your data lands.

The AI maps schema requirements to actual content objects.

SCHEMA

Valid JSON payloads

The AI reads your schema locks to ensure every field is correctly typed. You get data that fits your existing content models.

CONTENT

New content items

The AI uses the structural metadata to build new items. These are ready to be published in your Amplience environment.

METADATA

Precise structural locks

The AI pulls the exact constraints from your schemas. This prevents type mismatches during the generation process.

HUMAN

Final content review

The AI handles the structure, but you decide if the actual text and values are right. You remain the final editor.

The workflow

What your AI does when the schema arrives.

The AI moves from reading your rules to creating your content.

  1. Read schema constraints

    Your AI looks up the specific content item to understand its required fields and types.

    get_content_item

  2. Map data to types

    The AI compares your requested content against the retrieved schema locks to ensure perfect alignment.

    get_content_item

  3. Generate JSON payload

    The AI builds a structured object that follows every rule defined in your Amplience model.

    get_content_item

  4. Commit new items

    The AI pushes the newly scaffolded content back into your Amplience environment.

    create_content_item

Try it

Copy these to start.

Use these prompts to kick off the scaffolding process.

Starting points

These are opening lines. Swap out the bracketed text with your actual Amplience item IDs or schema names.

Amplience Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_JeoiOM8ki8jslAZQLhECHOmHPjVyKZPKjRrtAdGX/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Amplience capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "amplience-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_JeoiOM8ki8jslAZQLhECHOmHPjVyKZPKjRrtAdGX/mcp"
    }
  }
}
Copy into chat04

  • Get the schema for the [item_id] content item and tell me what fields are required.

  • Scaffold a new content item for [schema_name] using these details: [details].

  • Look at the structure of [item_id] and generate a JSON payload for a similar item.

  • Create a new content item in Amplience based on the [schema_name] model.

  • Claude
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  • VS Code
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  • JetBrains
  • Cline

Start here

Connect Amplience once, then ask.

Just follow the link to connect your account. Your credentials stay encrypted, and you can start prompting immediately.

Connect Amplience to your AI

FAQ

How this task behaves.

  • 01

    Can the AI change my existing schema definitions?

    No. The AI can only read the schema to inform how it builds content. It cannot modify your Amplience models.

  • 02

    Will the AI create content without me seeing it?

    The AI performs the creation action, but you should always review the generated content in your client before final publishing.

  • 03

    Does the AI handle image uploads?

    No. The AI can only create the content item and its text or metadata fields. You must handle media assets separately.

  • 04

    Can I use this to bulk update content?

    Yes, you can prompt your AI to iterate through a list of items and use the tools to create or update them one by one.

  • 05

    What happens if the JSON doesn't match the schema?

    The AI uses the schema locks to prevent this. If a mismatch occurs, the tool will return an error that the AI can see and correct.

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