How to Use the Dialog Insight MCP in Mastra AI

Build resilient marketing workflows in Mastra AI with automatic retries and conditional logic.

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Connect Dialog Insight MCP to Mastra AI

Create your Vinkius account to connect Dialog Insight 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 Dialog Insight with Mastra AI

Ask AI about this MCP

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Claude

Perplexity

Automated marketing contact workflows for Mastra AI

Create agents that handle database records without manual input. Your Mastra AI agent uses `add_new_marketing_contact` and `get_contact_profile` to maintain your list hygiene. These tools integrate with the built-in workflow engine. If an API call fails, the agent handles the retry logic based on your defined rules.

Complex campaign monitoring with Mastra AI

Set up multi-step tasks that track performance across your organization. Your agents use `list_marketing_campaigns` and `get_campaign_performance` to evaluate ongoing work. This gives your agents the context needed to make decisions. You can branch your workflows based on the engagement data returned.

Manage marketing segments and automations

Control your targeting logic through your agents. Use `list_audience_segments` and `list_active_automations` to adjust your strategy based on current account settings. This setup allows for dynamic adjustments to your marketing stack. Your agents stay in sync with your account state at all times.

Setup guide

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

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

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

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Why Choose Vinkius

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Common questions about Dialog Insight MCP in Mastra AI

Define the server in your agent configuration. Mastra AI will automatically detect the tools, allowing you to include them in any step of your workflow.

Yes. You can define retry policies and fallback steps in your workflow engine to ensure your agent manages contact data reliably.

It does. You can require tool approval for sensitive operations like adding contacts, ensuring a human verifies the action before it executes.

Use the performance tools in a scheduled agent task. The agent can report back to you if specific metrics fall outside your expected range.

The connection is scoped to your specific API credentials. The server processes records only on demand, ensuring your contact details are never stored or cached locally.

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