• SCHEMA
  • BOUNDARIES
  • MISSING
  • HUMAN

How to verify delivery endpoints with your AI

Connect Magnolia to your AI client once. After that, your agent can inspect live delivery paths to confirm your content structure is correct.

Ask AI about this page

Short answer

How do I verify delivery endpoints with my AI?

Your AI uses Magnolia delivery tools to pull live JSON data from specific paths. It compares the actual response against your required schema to find missing fields or broken boundaries. You get a clear report of where your API output deviates from your plan.

Where every issue lands.

Validation outcomes

The AI categorizes findings based on how much they break your delivery requirements.

SCHEMA

Mapping mismatches

The AI identifies where JSON keys don't match your expected structure. You'll see exactly which fields are missing or misnamed in the delivery node.

BOUNDARIES

Content overflows

The agent checks if content stays within defined limits. It flags when data exceeds the expected depth or structure of a delivery path.

MISSING

Empty nodes

The AI spots where expected content is absent. It highlights empty or null values that should contain data according to your schema.

HUMAN

Manual fixes

The AI flags structural errors that require you to update the Magnolia template or mapping logic. It leaves the actual content editing to you.

The workflow

What your AI does when the request arrives.

The AI moves through your Magnolia delivery tree to audit the data.

  1. Fetch the node

    The agent targets a specific delivery path to pull the current JSON payload.

    mg.get_delivery_node

  2. Map the tree

    It looks at the immediate children of a node to understand the local structure.

    mg.get_delivery_children

  3. Compare schema

    The AI compares the retrieved data against your provided JSON schema requirements.

    mg.get_delivery_node

  4. Report gaps

    The agent identifies missing fields or incorrect data types within the delivery path.

    mg.get_delivery_children

Try it

Copy these to start.

Use these prompts to begin your validation task.

Starting points

Swap the path and schema descriptions with your actual Magnolia delivery details.

Magnolia CMS Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_u6bjdVVF5duWxI08JFgNFgIEqXftnazuC33oVsOc/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 — Magnolia CMS capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "magnolia-enterprise-headless-cms-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_u6bjdVVF5duWxI08JFgNFgIEqXftnazuC33oVsOc/mcp"
    }
  }
}
Copy into chat04

  • Check the delivery node at /content/home/products and tell me if it matches this schema: [paste schema]

  • List all children under the /news/latest path and verify they all have a 'title' and 'slug' field.

  • Compare the JSON output from the /api/v1/hero path against my expected mapping.

  • Verify that the content boundaries for the /blog/category/tech node are correct.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Magnolia once, then ask.

One connection gives your AI access to your Magnolia delivery endpoints. Your credentials stay encrypted and secure.

Connect Magnolia to your AI

FAQ

How this task behaves

  • 01

    Can the AI change content in Magnolia?

    No. The AI can only read delivery data through the provided tools. It cannot edit or delete content in your CMS.

  • 02

    Does the AI create new delivery paths?

    No. The AI can only inspect existing paths that you provide via the delivery tools.

  • 03

    Can I use this to test my production API?

    Yes. The AI uses the same delivery tools your application uses, so it sees exactly what your API sees.

  • 04

    How does the AI know what my schema should look like?

    You must provide the expected schema or field list in your prompt so the AI has a baseline for comparison.

  • 05

    Can the AI fix a broken JSON mapping automatically?

    No. The AI identifies the error, but you must go into Magnolia to fix the mapping or template yourself.

  • More questions about Magnolia? The Connector page answers them. See everything the Magnolia Connector can do

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