How to Use the X Ads (Twitter) MCP in Mastra AI

Q: How do I get campaign analytics with X Ads (Twitter) and Mastra AI?

Use the getanalytics tool within a Mastra AI workflow. Because your setup handles retries, if the API is slow or fails temporarily, the system will automatically try again until it pulls those necessary metrics.

Q: Can I list all ad accounts with X Ads (Twitter) and Mastra AI?

Yes. You simply call listadaccounts. The workflow can then iterate through that list, running deep checks like getadaccount on each one to build a complete audit report.

Q: What if I need to check line items with X Ads (Twitter) and Mastra AI?

Use the MCP Server's listlineitems tool. You can wrap this in a conditional branch: if any line item is flagged, the workflow changes its path to alert an administrator immediately.

Q: Does this MCP Server handle ad listing and auditing for X Ads (Twitter) and Mastra AI?

It handles it. You use listads and listpromotedtweets together. The workflow can pull these lists, check them against budget limits, and then report the findings.

Build complex, self-correcting X Ads (Twitter) workflows with Mastra AI.

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Connect X Ads (Twitter) MCP to Mastra AI

Create your Vinkius account to connect X Ads (Twitter) 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 X Ads (Twitter) with Mastra AI

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Managing Ad Accounts in Mastra AI

Mastra AI handles account auditing via the MCP Server. You can first run `list_ad_accounts` to see all available accounts, and then use `get_ad_account` to pull specific details for each one. This is perfect for workflows that need to check multiple accounts sequentially. If an account fails validation (e.g., funding issues), the workflow can automatically retry using a different method or notify an admin, handling failures gracefully without human intervention.

Deep Line Item Analysis with Mastra AI

Need to audit campaign components? The MCP Server offers `list_line_items` and `list_ads`. A Mastra AI workflow can check every line item for compliance, then use `get_analytics` on the group. If key metrics are low, it triggers a notification step. This system supports conditional branching: if ad spend is over budget, the workflow stops and requires human approval before proceeding with further actions.

Comprehensive Campaign Auditing via Mastra AI

Build multi-step campaigns that audit everything. You start by calling `list_campaigns` to get all active efforts, then iterate through them using `list_promoted_tweets`. The workflow can gather funding details with `list_funding_instruments`, ensuring every ad asset is properly backed up. The exponential backoff retries mean that if the X Ads (Twitter) API hits a temporary rate limit, your complex Mastra AI process just waits and tries again until it succeeds.

Setup guide

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

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

const result = await agent.generate(
  "List recent X Ads (Twitter) 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 X Ads (Twitter). 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 X Ads (Twitter) MCP in Mastra AI

Use the `get_analytics` tool within a Mastra AI workflow. Because your setup handles retries, if the API is slow or fails temporarily, the system will automatically try again until it pulls those necessary metrics.

Yes. You simply call `list_ad_accounts`. The workflow can then iterate through that list, running deep checks like `get_ad_account` on each one to build a complete audit report.

Use the MCP Server's `list_line_items` tool. You can wrap this in a conditional branch: if any line item is flagged, the workflow changes its path to alert an administrator immediately.

It handles it. You use `list_ads` and `list_promoted_tweets` together. The workflow can pull these lists, check them against budget limits, and then report the findings.

The server touches ad accounts, funding instruments, campaign structures, and performance analytics. The primary data types are financial and advertising records.

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