How to Use the D-ID MCP in Mastra AI

Q: Does this MCP Server work with Mastra AI workflows?

It does. You can use the deletetalk tool to clean up old files as part of a cleanup step in your Mastra workflow.

Build complex video workflows with Mastra AI and this MCP Server.

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…and any MCP-compatible client

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Connect D-ID MCP to Mastra AI

Create your Vinkius account to connect D-ID 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 D-ID with Mastra AI

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Claude

Perplexity

Orchestrate D-ID talks using Mastra AI agents

Define agent workflows that trigger `create_talk` whenever a specific event occurs. If the video generation fails, Mastra's built-in retry logic kicks in to try again automatically. This setup allows you to chain multiple operations together. You can upload an image with `upload_image` and immediately pass that ID into a talk generation step.

Monitor video production status

Use `get_talk` inside your agent loops to watch for completion. The agent can then trigger a follow-up action, like emailing the video link or saving it to your database. It removes the need for manual polling. Your agents stay idle until the D-ID server reports the video is ready.

Scale your video operations with Mastra AI

Control your usage by querying `get_credits` before starting a batch job. If your balance runs low, the agent can pause the queue and alert your admin team. This prevents wasted effort and ensures your pipeline remains healthy. It turns a manual task into a reliable, automated service.

Setup guide

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

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

const result = await agent.generate(
  "List recent D-ID 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 D-ID. 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.

Why Choose Vinkius

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Common questions about D-ID MCP in Mastra AI

Add the server URL to your Mastra agent config. The framework will automatically detect the available tools and allow you to call them within your workflow steps.

Yes, you can configure Mastra to retry tool calls if the D-ID service returns a transient error. This keeps your video pipeline running without manual intervention.

Absolutely. You can separate your D-ID requests by context or user ID within your agent workflows to ensure data stays organized.

It does. You can use the `delete_talk` tool to clean up old files as part of a cleanup step in your Mastra workflow.

All requests are encrypted in transit. We only process the specific image or audio files you provide, and the raw data is never exposed outside of the D-ID processing environment.

Use it with your favorite AI tools

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