How to Use the Wbiztool MCP in Mastra AI

Q: Can I use Wbiztool and Mastra AI for contact management?

Yes. You can sequence tools like listcontacts and searchcontacts. This allows you to build a resilient workflow that gathers, verifies, and processes contact data reliably.

Build resilient, multi-step workflows for Wbiztool using Mastra AI.

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Connect Wbiztool MCP to Mastra AI

Create your Vinkius account to connect Wbiztool 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 Wbiztool with Mastra AI

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Automated Contact Workflow with Mastra AI

Start a workflow by checking the status of `check_wbiztool_status`. If it passes, your agent can then call `list_contacts` to gather all necessary records. This verifies connectivity and gathers data in one go. Mastra AI handles this gracefully. You build the sequence—first check connection, then list contacts—and the system automatically retries if any step fails.

Handling Complex Messaging with Mastra AI

Need to send a message, but only if a contact exists? Build that logic using `get_contact` followed by `send_message`. If the contact details are missing, your workflow engine can trigger an alert instead of failing. This conditional branching is huge. You define the 'if X, then Y' rules, and Mastra AI executes them even if things go sideways.

Campaign Management with Mastra AI

Design a full campaign sequence: first run `list_templates` to verify available options. Then, call `send_bulk_message`. If the bulk send fails due to rate limits, your workflow automatically waits and retries later. This capability means you deploy complex business logic—like running multiple marketing campaigns—with confidence in handling failures.

Setup guide

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

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

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

You expose Wbiztool's tools to your agent framework. This lets you build complex, multi-step workflows that handle failures and retries automatically using the MCP Server.

Yes. You can sequence tools like `list_contacts` and `search_contacts`. This allows you to build a resilient workflow that gathers, verifies, and processes contact data reliably.

The server manages messaging details, including message history (`get_message_history`), group lists, and contact records. Any workflow touching this MCP Server must account for these specific data types.

It's perfect for it. You can write a robust workflow that sends messages via `send_bulk_message`. The agent will automatically manage retries if the initial send fails.

You get to build mission-critical, failure-proof workflows. You define the sequence of actions—like checking status, listing contacts, and then sending messages—and Mastra AI handles the execution details.

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