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How to Use the Emma MCP in Mastra AI

Build resilient email workflows in Mastra AI with automatic retries and logic branching.

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Works with every AI agent you already use

…and any MCP-compatible client

Emma MCP on Cursor AI Code Editor MCP Client Emma MCP on Claude Desktop App MCP Integration Emma MCP on OpenAI Agents SDK MCP Compatible Emma MCP on Visual Studio Code MCP Extension Client Emma MCP on GitHub Copilot AI Agent MCP Integration Emma MCP on Google Gemini AI MCP Integration Emma MCP on Lovable AI Development MCP Client Emma MCP on Mistral AI Agents MCP Compatible Emma MCP on Amazon AWS Bedrock MCP Support
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Mastra AI

Connect Emma MCP to Mastra AI

Create your Vinkius account to connect Emma 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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Workflow logic with Mastra AI

Create complex sequences where your agent checks `list_mailings` and decides the next step based on performance. If a mailing fails, Mastra AI can trigger a retry logic block automatically. This MCP Server fits right into your existing agent graph. It treats your email data as just another node in your automation chain.

Monitor hooks in Mastra AI

Keep tabs on your infrastructure by calling `list_webhooks`. If you see an unexpected configuration, your agent can flag it for manual review immediately. It removes the need to log into the dashboard constantly. Your agent handles the monitoring and reports back to you when something looks off.

Sync custom fields in Mastra AI

Use `list_fields` to verify your data schema before pushing member updates. It ensures your automation flows don't crash due to missing or renamed fields. Integrating this into your Mastra agent provides a safety net. You validate the structure first, then perform the action.

Setup guide

Set up Emma 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. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Emma tools become native Mastra tools.

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

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Emma. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Emma MCP in Mastra AI

You add the server to your agent definition and use the tools within your agent's steps. Mastra AI handles the execution order and state management.
Yes, you can set `requireToolApproval: true` for any Emma tool. This forces a human-in-the-loop check before the agent performs actions like `create_group`.
You can. If you need to iterate through members, the agent can call `list_members` repeatedly until it finds the record you need.
The framework catches tool exceptions. You can define custom retry policies for Emma calls if the API returns a transient failure.
Mastra AI treats your execution environment as a secure sandbox. The member email addresses and names never leave your infrastructure during processing.

Start using the Emma MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

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