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Vinkius

Dixa MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Dixa through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "dixa": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Dixa Agent",
    instructions:
      "You help users interact with Dixa " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Dixa?"
  );
  console.log(result.text);
}

main();
Dixa
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Dixa MCP Server

Integrate Dixa, the customer friendship platform, directly into your AI workflow. Manage your multi-channel support conversations, monitor agent presence and performance, track service queues, and oversee your support teams using natural language.

Mastra's agent abstraction provides a clean separation between LLM logic and Dixa tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Conversation Oversight — List and retrieve detailed information for all customer conversations and their current processing status.
  • Agent Intelligence — Monitor real-time agent presence, profile details, and team assignments across your organization.
  • Queue Monitoring — Track active service queues and routing settings to ensure efficient support delivery.
  • Team Management — List all support teams and identify members assigned to specific organizational units.

The Dixa MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Dixa to Mastra AI via MCP

Follow these steps to integrate the Dixa MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from Dixa via MCP

Why Use Mastra AI with the Dixa MCP Server

Mastra AI provides unique advantages when paired with Dixa through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Dixa without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Dixa tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Dixa + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Dixa MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Dixa, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Dixa as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Dixa on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Dixa tools alongside other MCP servers

Dixa MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Dixa to Mastra AI via MCP:

01

get_agent_profile

Get full profile and performance data for a specific agent

02

get_conversation_details

Get detailed information for a specific customer conversation

03

get_service_account_metadata

Retrieve metadata and usage limits for your Dixa account

04

list_customer_conversations

List all customer service conversations in your Dixa account

05

list_open_support_tickets

Identify conversations that are currently in an "Open" or "Unassigned" status

06

list_service_agents

List all support agents registered in your Dixa organization

07

list_service_queues

List all active service queues configured in Dixa

08

list_support_teams

List all configured support teams and their members

09

quick_agent_presence_audit

Retrieve a high-level summary of active agent presence statuses

10

search_conversations_by_subject

Search for conversations using a keyword in the subject

Example Prompts for Dixa in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Dixa immediately.

01

"List all open support conversations."

02

"Show me the details for conversation '12345'."

03

"Who is currently available in the 'Sales' team?"

Troubleshooting Dixa MCP Server with Mastra AI

Common issues when connecting Dixa to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Dixa + Mastra AI FAQ

Common questions about integrating Dixa MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Dixa to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.