How to Use the Umbraco MCP in Mastra AI

Q: How do I verify content existence in Umbraco with Mastra AI?

Use getdeliverycontentbyid. By providing a GUID or numeric ID, your agent quickly confirms if the exact record exists and pulls its current state. It's fast and reliable for verification steps.

Q: When building complex Umbraco workflows with Mastra AI, where do I get draft content?

You use getmanagementdocument. This tool specifically targets the Umbraco Management API, allowing your multi-step workflow to access and process drafts that aren't published.

Q: Does Mastra AI help me manage large content lists from Umbraco?

Yes. The listdeliverycontent function supports pagination using take and skip. This lets your workflow process thousands of records reliably, chunk by chunk.

Q: If I need to filter content types from Umbraco with Mastra AI, which query should I use?

The querydeliverycontent tool takes a specific query syntax (e.g., contentType:blogPost). This narrows down the search results immediately for your workflow.

Build resilient Umbraco content pipelines with Mastra AI's workflow engine.

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Connect Umbraco MCP to Mastra AI

Create your Vinkius account to connect Umbraco to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Umbraco with Mastra AI

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Handling Content Updates in Multi-Step Workflows

If a process fails, you need it to retry. Your agent uses `update_cms_document` to modify content when an initial attempt doesn't work. Because Mastra AI handles automatic retries with exponential backoff, your workflow won't crash on temporary API hiccups. Remember that the `delete_cms_document` action is permanent. The workflow engine treats this as a critical step, ensuring you get confirmation before running an irreversible deletion.

Retrieving Umbraco Content Via Mastra AI MCP Server

To pull specific content, the agent uses `get_delivery_content_by_path`. This means you can reference an item simply by its URL path (like `/contact/info`), making your workflow highly readable and predictable. Need to check many items? Use `list_delivery_content` paired with pagination (`take`/`skip`) in the Mastra AI workflow. It lets you loop through large datasets without running into API limits.

Discovering Umbraco Assets and Types for Mastra AI

Before writing content, your agent needs to know what's possible. The `list_document_types` tool gives you a full list of schemas available in the system. You can then use that list to guide subsequent actions. Want to find media? Call `list_media_assets`. This pulls all image and file references from Umbraco’s library, letting your agent build asset links into documents automatically.

Setup guide

Set up Umbraco MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Umbraco tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "umbraco-mcp-client",
  servers: {
    "umbraco-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Umbraco Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Umbraco tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Umbraco transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Umbraco. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Umbraco MCP in Mastra AI

Use `get_delivery_content_by_id`. By providing a GUID or numeric ID, your agent quickly confirms if the exact record exists and pulls its current state. It's fast and reliable for verification steps.

You use `get_management_document`. This tool specifically targets the Umbraco Management API, allowing your multi-step workflow to access and process drafts that aren't published.

Yes. The `list_delivery_content` function supports pagination using `take` and `skip`. This lets your workflow process thousands of records reliably, chunk by chunk.

The `query_delivery_content` tool takes a specific query syntax (e.g., `contentType:blogPost`). This narrows down the search results immediately for your workflow.

This MCP Server interacts with content schemas and media assets. You must ensure that any credentials used by the agent only grant write permissions to specific document IDs, limiting potential scope creep.

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