How to Use the Facebook Ads MCP in Mastra AI

Q: Can Mastra AI automate Facebook Ads status changes?

Yes. You can create a workflow that triggers updateadstatus based on the data returned by getinsights.

Build resilient Facebook Ads workflows with Mastra AI that handle errors and retries automatically.

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Connect Facebook Ads MCP to Mastra AI

Create your Vinkius account to connect Facebook Ads 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 Facebook Ads with Mastra AI

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Automated campaign workflows in Mastra AI

Chain multiple operations together using `list_campaigns` and `get_campaign_details` inside a Mastra workflow. If a call fails, the framework handles the retry logic for you. This is for building reliable agents. You can script a sequence that checks performance and updates status without manual oversight.

Conditional ad management for Mastra AI

Define branching logic where your agent evaluates `get_insights` before calling `update_ad_set_status`. If performance metrics drop below your threshold, the workflow triggers the update. It removes the need for custom retry code. Mastra manages the execution flow, ensuring your ad status updates are executed only when conditions are met.

Secure multi-step Facebook Ads operations

Use `get_me` to verify permissions before running complex `list_ads` tasks. Mastra AI provides a clear audit trail for every action taken by the agent. This setup allows for human-in-the-loop approvals. You can configure the agent to pause before calling `update_campaign_status`, ensuring you review the change first.

Setup guide

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

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

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

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Common questions about Facebook Ads MCP in Mastra AI

Yes. Because Mastra includes a built-in workflow engine, it handles retries automatically if a request to the Meta API encounters a temporary error.

Install the package and add the MCP server to your agent definition. You then spread the tools into your agent configuration to start running workflows.

Yes. You can create a workflow that triggers `update_ad_status` based on the data returned by `get_insights`.

It is. The server exposes its tools in a format that Mastra auto-detects, making it simple to include in your agent's toolset.

Data flows through a secure V8 sandbox. Your campaign performance metrics are kept strictly within the ephemeral memory of the agent session.

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