How to Use the Hexomatic MCP in Vercel AI SDK

Q: How do I handle Hexomatic credits in my Vercel AI SDK app?

Call the getaccountusage tool before you trigger any long-running tasks. This lets you build a simple check in your code to prevent overspending.

Q: Where can I see the output of a Hexomatic workflow in my AI SDK UI?

You pipe the output of getworkflowresults into your frontend state. Since it's just JSON, your components can render the data as soon as the promise resolves.

Stream Hexomatic data directly into your Vercel AI SDK frontends. Stop waiting for spinners and start showing live automation results.

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Connect Hexomatic MCP to Vercel AI SDK

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

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Live execution streaming in AI SDK

Your Vercel AI SDK interface can now pull workflow results the moment they hit the server. Use `get_workflow_results` to pipe data straight into your React components without intermediate processing steps. This MCP Server handles the connection logic while you focus on the UI. Your users watch as the AI triggers `run_workflow` and populates the dashboard with fresh data in real-time.

Manage workflows from your SDK code

Control your entire automation library directly from your backend logic. Use `list_workflows` and `search_workflows` to find the right job, then trigger it with `run_workflow` using custom JSON payloads. Everything stays in sync with your application state. You can check account health with `get_account_usage` to ensure your edge functions never hit credit limits during high-traffic periods.

Real-time logging for AI SDK agents

Debug your automated tasks without leaving your terminal or logs dashboard. Call `get_execution_logs` to surface exact error messages or status updates for any active job. This keeps your agent feedback loop tight. When a step fails, your AI client knows exactly what happened by parsing the output of the logs tool.

Setup guide

Set up Hexomatic 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 Hexomatic 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 Hexomatic transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Hexomatic. 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

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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.

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Hexomatic MCP in Vercel AI SDK

Yes. Just add the server URL to your client configuration and map the tools. It works natively with your existing streamText setup.

Call the `get_account_usage` tool before you trigger any long-running tasks. This lets you build a simple check in your code to prevent overspending.

It does. The lightweight transport layer works perfectly within edge constraints. You get the same access to scraping recipes and automations as you would on a standard server.

You pipe the output of `get_workflow_results` into your frontend state. Since it's just JSON, your components can render the data as soon as the promise resolves.

The server only touches your account-specific workflow metadata and scraping results. We use token-based authentication to lock down every request to your private workspace.

Use it with your favorite AI tools

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