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How to Use the Dixa MCP in Mastra AI

Build resilient customer workflows by connecting Mastra AI agents directly to your Dixa support queue.

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Works with every AI agent you already use

…and any MCP-compatible client

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

Connect Dixa MCP to Mastra AI

Create your Vinkius account to connect Dixa 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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Automated ticket triage with Mastra AI

The `list_conversations` tool fetches open tickets so your Mastra AI agents can evaluate priority and route them to the correct queue. If a critical Dixa ticket comes in, Mastra AI initiates a workflow to assign it immediately based on support team availability. By combining this with `list_support_teams`, your automated Mastra AI workflows match Dixa ticket requirements with active agent groups. The Mastra AI framework handles API retries automatically if Dixa experiences temporary rate limits.

Human-in-the-loop agent assignment

The `assign_to_self` tool claims conversations for specific agents, which Mastra AI can gate behind an approval step. Before a bot shifts Dixa ownership, Mastra AI pauses the workflow to let a team lead approve the action. This Dixa MCP Server integration allows you to check `get_agent_info` to verify the target agent's workload before Mastra AI finalizes the assignment. This keeps your support team from getting buried under automated Mastra AI ticket transfers.

Self-healing customer profile sync

The `create_customer_profile` MCP tool registers new users in Dixa, running within Mastra AI's structured workflow engine to prevent duplicate records. If a creation step fails, Mastra AI uses exponential backoff to retry the Dixa request without losing customer data. Your Mastra AI agents can run `list_end_users` to verify if a Dixa profile already exists before creating a new one. This keeps your Dixa customer database clean and free of fragmented Mastra AI records.

Setup guide

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

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

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

Mastra AI features a built-in workflow engine that automatically retries failed calls to `list_conversations` or other tools. It uses exponential backoff to handle temporary API bottlenecks gracefully.
Yes. Your workflow can query `list_support_teams` and `list_support_agents` to check who is online, then use `assign_to_self` to route the ticket.
Yes. You can configure Mastra to require approval before executing high-impact tools like `resolve_conversation` or changing profile data.
You use the `list_active_webhooks` tool to inspect your active endpoints. Mastra can then process these incoming events to trigger multi-step customer service workflows.
The server runs in a zero-trust, isolated V8 sandbox. Your customer profiles, email addresses, and support conversation histories are processed in memory and never written to persistent storage.

Start using the Dixa MCP today

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Built & Managed by Vinkius 30s setup 12 tools

We've already built the connector for Dixa. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
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