How to Use the WorkflowMax MCP in Vercel AI SDK

Q: How do I check active projects with WorkflowMax and Vercel AI SDK?

You simply call the listjobs tool from your agent. This returns an overview of all current, active projects managed through the MCP Server. You can then stream this list directly into a component.

Q: Can WorkflowMax and Vercel AI SDK handle time tracking?

Yes. The createtimesheet tool lets your agent log specific hours, requiring just the job UUID and the task duration. This means users can see accurate work logs populating their dashboard in real-time.

Q: Is WorkflowMax and Vercel AI SDK good for listing all projects?

Absolutely. The listjobs tool is designed specifically to give you a clear, paginated list of every job currently active in the system. It’s perfect for an overview dashboard.

Q: If I need to update project details with WorkflowMax and Vercel AI SDK, what should I use?

Use updatejob. This tool takes an existing job UUID and allows you to modify specific details like the name or start date. It's a direct way to manage changes without needing a full data rewrite.

Display project status live in your UI with Vercel AI SDK.

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Connect WorkflowMax MCP to Vercel AI SDK

Create your Vinkius account to connect WorkflowMax to Vercel AI SDK 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 WorkflowMax with Vercel AI SDK

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Fetch and Stream Client Data via MCP Server

Use the `get_client` tool to pull a client's details when building a React component. The data streams directly into your UI, so users see the information appear live instead of waiting for a loading spinner. Similarly, you can run `list_clients` and display the results in real-time as they arrive, making the entire process feel incredibly fast.

Manage Project Timelines with Vercel AI SDK

When a user finishes a task, your agent can call `create_timesheet` to log hours against an existing job. This function requires the job UUID and the duration, letting you record work time directly into the system. If the project changes, calling `update_job` lets you modify core details—like the start date or name—and display that updated data instantly across your front end.

Build Client Intake Forms with Vercel AI SDK

To set up a new account, call `create_client` by passing in the company or individual's name. This is the starting point for any user-facing application. Then, you can use `get_client_contact` to pull specific contact details related to that client, allowing your Next.js app to populate forms using live data streams.

Setup guide

Set up WorkflowMax MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all WorkflowMax tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent WorkflowMax transactions",
});

console.log(text);
await mcpClient.close();

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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 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.

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Common questions about WorkflowMax MCP in Vercel AI SDK

You simply call the `list_jobs` tool from your agent. This returns an overview of all current, active projects managed through the MCP Server. You can then stream this list directly into a component.

Yes. The `create_timesheet` tool lets your agent log specific hours, requiring just the job UUID and the task duration. This means users can see accurate work logs populating their dashboard in real-time.

This MCP Server handles client records, contact information (UUIDs), job details, and specific timesheet entries. This is all structured data that your agent reads and writes.

Absolutely. The `list_jobs` tool is designed specifically to give you a clear, paginated list of every job currently active in the system. It’s perfect for an overview dashboard.

Use `update_job`. This tool takes an existing job UUID and allows you to modify specific details like the name or start date. It's a direct way to manage changes without needing a full data rewrite.

Use it with your favorite AI tools

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