How to Use the Daktela MCP in Mastra AI

Q: How do I register Daktela tools with a Mastra AI agent?

Initialize the MCP client using new MCPClient with your Vinkius URL, then run mcpClient.listTools(). Spread these tools directly into your Mastra agent configuration to give it full access.

Q: Can I require human approval before Mastra AI modifies Daktela tickets?

Yes, you use Mastra's built-in requireToolApproval setting on the createticket tool. This halts the agent's execution until an operator reviews and greenlights the ticket creation.

Run complex Daktela workflows with conditional branches and automatic retries using Mastra AI.

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Connect Daktela MCP to Mastra AI

Create your Vinkius account to connect Daktela 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 Daktela with Mastra AI

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Build resilient escalation loops with Mastra AI

The `create_ticket` tool generates new support tickets inside your Daktela instance when customer issues escalate. Mastra AI manages this step through its structured workflow engine, handling retries automatically if the API drops a request. Set up conditional branches that check `list_activities` first. If a customer already has an active thread, the workflow routes the issue to their existing account manager instead of creating a duplicate ticket.

Control CRM writes with strict approval gates

The `create_contact` tool updates your Daktela CRM with verified customer details only after explicit approval. Mastra AI enforces this using its native `requireToolApproval` check, stopping the agent until a human clicks confirm. While waiting for approval, the workflow pauses the state without losing context. Once approved, the agent matches the contact against `list_accounts` to keep your sales database perfectly organized.

Automate dispatcher queues using this MCP Server

This MCP Server uses `list_queues` to monitor active call center channels for high traffic. Mastra AI triggers background steps when queues spike, alerting on-call staff or adjusting agent assignments. The workflow reads `list_users` to find available staff and assigns tickets to them dynamically. It deploys to any cloud with a single command, running your contact center operations on autopilot.

Setup guide

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

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

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

Initialize the MCP client using `new MCPClient` with your Vinkius URL, then run `mcpClient.listTools()`. Spread these tools directly into your Mastra agent configuration to give it full access.

Yes, you use Mastra's built-in `requireToolApproval` setting on the `create_ticket` tool. This halts the agent's execution until an operator reviews and greenlights the ticket creation.

Mastra AI features a workflow engine with automatic exponential backoff. If `list_activities` fails due to a network glitch, the framework retries the call before failing the workflow.

Yes, Mastra AI automatically detects the transport type, whether it is Streamable HTTP or SSE. You only need to supply the connection URL from your Vinkius console.

Your CRM contacts and ticket details pass directly through secure Vinkius MCP sandboxes to your Mastra AI environment. We do not log or store any customer names, phone numbers, or email bodies.

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