How to Use the Azure Service Bus Topic MCP in Mastra AI

Q: How do I add Azure Service Bus Topic to Mastra AI?

Install @mastra/mcp and instantiate a new MCPClient with your Vinkius URL. Call mcpClient.listTools() and spread the output into your agent's tool array.

Build Mastra AI workflows that push payloads to an Azure Service Bus Topic with automatic retries and conditional branching.

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Connect Azure Service Bus Topic MCP to Mastra AI

Create your Vinkius account to connect Azure Service Bus Topic 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 Azure Service Bus Topic with Mastra AI

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Perplexity

Trigger Azure Service Bus Topic from Mastra AI

The `publish_message` tool drops your workflow outputs right into your enterprise messaging bus. Mastra AI handles the complex logic, and when the conditions are met, it fires the payload. If the network drops or Azure throttles the request, Mastra's built-in exponential backoff takes over. The framework retries the operation automatically against the MCP Server until the message safely lands in the topic.

Build Smart Routing Logic

Agents don't just fire off blind text strings. They use the `publish_message` tool to construct precise `customProperties` JSON objects based on the current workflow state. A failed payment branch might slap an "urgent" priority tag on the payload, while a standard update gets routed to a low-priority subscription. The agent evaluates the context and applies the exact metadata your downstream consumers expect.

Pause for Approval Before Publishing

Pushing live messages to production queues usually requires human oversight. You can wrap this MCP Server with Mastra's `requireToolApproval` setting to prevent accidental triggers. The workflow halts right before executing the tool. An admin reviews the generated payload and routing headers, approves the action, and the framework pushes the data to Azure.

Setup guide

Set up Azure Service Bus Topic 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 Azure Service Bus Topic 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: "azure-service-bus-topic-mcp-client",
  servers: {
    "azure-service-bus-topic-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Azure Service Bus Topic 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 Azure Service Bus Topic. 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 Azure Service Bus Topic MCP in Mastra AI

Install `@mastra/mcp` and instantiate a new `MCPClient` with your Vinkius URL. Call `mcpClient.listTools()` and spread the output into your agent's tool array.

Yes. The framework detects whether to use Streamable HTTP or SSE based on the endpoint configuration. You just provide the URL and it connects.

That is exactly what Mastra does best. You can build a workflow that checks a database, evaluates the result, and only calls the publish tool if specific criteria match.

Mastra catches the failure and applies its retry mechanics. You can configure how many times it attempts the push before routing the workflow to an error-handling branch.

The text messages and routing metadata pass through a zero-trust, sandboxed environment. Vinkius requires a single endpoint token for authentication and drops the entire isolate the moment the network request completes, leaving zero trace of your data.

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