How to Use the Drupal MCP in Mastra AI

Build reliable Drupal workflows in Mastra AI with automatic retries and conditional branching.

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Connect Drupal MCP to Mastra AI

Create your Vinkius account to connect Drupal 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 Drupal with Mastra AI

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Claude

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Automated Content Workflows

Create robust agent pipelines that manage Drupal nodes automatically. Your Mastra AI agent uses `create_cms_node` to generate new entries and `patch_cms_node` to adjust them based on workflow triggers. If an API call hits a rate limit, the framework handles the retry logic. It keeps your content pipeline moving without manual intervention.

Taxonomy and User Synchronization

Maintain your CMS structure by querying `get_taxonomy_term` during multi-step processes. Your agents verify vocabularies using `list_term_vocabularies` before making changes. User auditing remains consistent as well. The agent calls `list_drupal_users` to identify the right identity for every automated action.

Safe Node Management

Execute complex content cleanup tasks by using `wipe_cms_node` within a protected Mastra AI workflow. You can gate these actions with `requireToolApproval` to keep a human in the loop. This prevents accidental data loss during automated pruning. Your agent verifies the node state with `get_single_node` before taking any destructive action.

Setup guide

Set up Drupal 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 Drupal 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: "drupal-mcp-client",
  servers: {
    "drupal-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Drupal 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 Drupal. 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 Drupal MCP in Mastra AI

Mastra AI uses built-in retry logic. You can configure your agent to catch errors from `patch_cms_node` and attempt the operation again with exponential backoff.

Absolutely. Just import the MCP client and register the tools in your agent definition to make them available for your workflow tasks.

Use the framework's tool approval feature. It forces the agent to ask for your confirmation before executing critical tools like `wipe_cms_node`.

The server provides the tools, but your Mastra AI agent manages the state. You can pass node IDs through your workflow context.

The server enforces scoped access at the endpoint. Your agent only sees the user data returned by `list_drupal_users` when authorized.

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