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How to Use the WorkflowMax MCP in Mastra AI

Build reliable, multi-step workflows with Mastra AI.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect WorkflowMax MCP to Mastra AI

Create your Vinkius account to connect WorkflowMax 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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Process New Client Accounts via MCP Server

To onboard a new client, your agent executes `create_client`, requiring just the company name. This action registers the entity in the WorkflowMax system. Next, you can use `create_client_contact` to add necessary contact details, linking them specifically to the newly generated client UUID for full account setup.

Automate Job and Timesheet Creation with Mastra AI

When a project starts, your workflow should first call `create_job`, providing essential data like the name and start date. This establishes the main job record. Later, when work is done, the agent handles logging by calling `create_timesheet`. You only need to pass the job UUID, task UUID, and duration.

Audit Progress with Comprehensive Listings

Need a full picture of what's happening? The `list_jobs` tool gives you an overview of all active projects. Likewise, running `list_timesheets` provides a complete audit trail of every recorded work log. These list functions are crucial for building workflows that must check status before proceeding to the next step.

Setup guide

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

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

const result = await agent.generate(
  "List recent WorkflowMax 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 WorkflowMax. 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

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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 WorkflowMax MCP in Mastra AI

You start by calling `create_job`, providing the necessary name, client ID, and start date. This tool establishes the primary job record that all subsequent tasks will reference.
Yes. The `create_timesheet` function lets your agent log new time entries, while `update_job` handles any necessary adjustments to the main job record itself. This keeps your historical logs accurate.
The server interacts with client names, contact details, specific UUIDs for jobs/clients, task units, and recorded time duration. It handles structured business data across these domains.
Use the `list_jobs` tool. This command provides a reliable overview of every job defined in the system, making it ideal for your workflow's status check.
You can use `get_client` to fetch specific client information by ID. If you need contact info specifically, the `get_client_contact` tool pulls those details for you.

Start using the WorkflowMax MCP today

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