How to Use the Amplience MCP in Mastra AI

Q: Can Mastra AI create new Amplience content items automatically?

Yes. Your workflows can trigger createcontentitem to generate new structured records matching your specific schema.

Q: How does this MCP Server handle pagination?

Tools like listcontentitems return paginated results by default. Your workflow can easily loop through these pages to process large repositories.

Connect the Amplience MCP Server to Mastra AI to build resilient workflows that manage your headless ecommerce content.

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Connect Amplience MCP to Mastra AI

Create your Vinkius account to connect Amplience 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 Amplience with Mastra AI

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Run Mastra AI content pipelines

Moving thousands of records requires agents that handle network failures gracefully. Your workflow can loop through entire environments by calling `list_hubs` and then mapping out the storage with `list_repositories`. If an API rate limit hits, the framework kicks in with automatic retries. You want predictable structure when migrating data. The agent navigates the hierarchy using `list_folders` and pulls paginated batches via `list_content_items`. Everything runs through a strict workflow engine that refuses to drop data if a single request times out.

Safely modify schemas with MCP

Updating live ecommerce data demands conditional logic. Before touching a record, the agent checks the current state with `get_content_item`. If the schema revision lock matches expectations, it proceeds to execute `update_content_item`. Mistakes in a headless CMS are expensive. That is why deleting old campaigns requires version validation. When the workflow calls `delete_content_item`, it permanently removes the item from the repository database only after passing your defined conditional checks.

Automate CDN deployment approvals

Pushing content should follow a strict approval chain. You can configure requireToolApproval in your client so a human reviews the draft before the agent fires `publish_content_item`. Once approved, the item hits the live delivery CDN instantly. Verifying the deployment is the final step in the workflow. The agent runs `get_delivery_content` to check the actual delivery CDN blocks. If the structural match fails, your conditional branching can alert an admin on Slack immediately.

Setup guide

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

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

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

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Common questions about Amplience MCP in Mastra AI

Use the Mastra MCPClient class and pass your Vinkius server URL in the configuration. Call listTools() and spread the results directly into your Agent tools array.

Yes. Your workflows can trigger `create_content_item` to generate new structured records matching your specific schema.

Tools like `list_content_items` return paginated results by default. Your workflow can easily loop through these pages to process large repositories.

You can enable requireToolApproval on the publishing tools. The workflow will pause and wait for a human to confirm before pushing anything to the live CDN.

Mastra AI only accesses your headless CMS configurations through a zero-trust tunnel. The server operates inside a secure V8 Isolate, meaning your folder structures and content items remain protected. Memory wipes entirely once the workflow completes.

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