How to Use the Dopplio MCP in Mastra AI

Q: How do I register the Dopplio MCP Server tools in Mastra AI?

Install the package with npm install @mastra/mcp@latest first. Initialize the MCPClient with the server URL, call mcpClient.listTools(), and spread those tools directly into your Mastra Agent's tool configuration.

Q: Can I use Dopplio and Mastra AI to require manual approval before a video is generated?

Yes, you can use Mastra's requireToolApproval option on the generatevideo tool. This pauses the workflow and alerts you to review the personalization data before the render begins.

Q: How do I inspect past Dopplio video generations inside my Mastra AI workflow?

Your agent can call listvideos to fetch the history of your renders. This lets the workflow check if a video for a specific lead already exists before initiating a new render job.

Q: Where are my website screenshots and HTML files stored?

Assets generated via capturescreenshot and renderpdf are processed in isolated, zero-trust environments. Your source HTML and target URLs are never cached long-term or shared with third parties.

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Connect Dopplio MCP to Mastra AI

Create your Vinkius account to connect Dopplio 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 Dopplio with Mastra AI

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Automate personalized video generation inside Mastra AI.

The `generate_video` tool initiates personalized video production using this MCP Server inside your automated agent workflows. Mastra AI manages the state, passing lead details from your database directly into the video template parameters. If a render fails or times out, Mastra's built-in retry logic kicks in automatically. This ensures your outreach campaigns do not stall due to temporary network issues.

Build multi-step PDF and video delivery workflows.

The `render_pdf` tool creates personalized PDF documents from raw HTML or web URLs as part of your multi-step agent workflows. You can chain this tool with video generation to send a complete personalized package to your leads. Your Mastra agent handles the execution order. It first generates the video, checks progress, and then compiles the accompanying PDF proposal without requiring manual intervention.

Handle video rendering queues with conditional branching.

The `get_render_status` tool allows your agent using the MCP protocol to check whether a video is ready before moving to the next workflow step. You can write simple conditional branches to handle slow renders or errors gracefully. If the status is still pending, the workflow pauses, waits, and checks again using `get_video_details`. Once complete, the agent automatically triggers the email dispatch step.

Setup guide

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

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

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

Install the package with `npm install @mastra/mcp@latest` first. Initialize the `MCPClient` with the server URL, call `mcpClient.listTools()`, and spread those tools directly into your Mastra Agent's tool configuration.

Yes, you can use Mastra's `requireToolApproval` option on the `generate_video` tool. This pauses the workflow and alerts you to review the personalization data before the render begins.

Your agent can call `list_videos` to fetch the history of your renders. This lets the workflow check if a video for a specific lead already exists before initiating a new render job.

Yes, the server supports both Streamable HTTP and SSE. Mastra auto-detects the transport type, so you only need to provide the base connection URL during initialization.

Assets generated via `capture_screenshot` and `render_pdf` are processed in isolated, zero-trust environments. Your source HTML and target URLs are never cached long-term or shared with third parties.

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