How to Use the AccuLynx MCP in Vercel AI SDK

Q: What happens if a job ID is missing?

The agent asks the user for it. Tools like getjobdetails strictly require a valid job ID to run. The SDK will pause the tool call and prompt the frontend for the missing parameter.

Pipe roofing job data straight into your Next.js frontend. The Vercel AI SDK streams AccuLynx records while your users watch.

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Connect AccuLynx MCP to Vercel AI SDK

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

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Perplexity

Stream AccuLynx leads to Vercel AI SDK

Your React application shouldn't make users stare at loading spinners. When a user asks about recent inquiries, the `list_leads` tool fires off in the background. The response flows straight into your UI components instantly. Building customer-facing dashboards requires speed. You fetch prospective roofing projects and render the data as it arrives via the MCP Server connection.

Render payment histories live

Financial records need immediate visibility. Hand your agent a job ID and call `list_payments` to pull the billing history for any roofing contract. The data drops right into your Svelte tables without delay. You skip the manual API polling entirely. The MCP handles the transport layer while your frontend displays the cash flow.

Capture new business instantly

Sales teams hate waiting for forms to process. A quick chat input triggers `create_lead` with just a first and last name. The new prospect hits the AccuLynx pipeline before the user even finishes typing their next question. Combine this with `get_job_details` to show technical milestones right after lead conversion. Edge functions keep the latency low, so the whole interaction feels native.

Setup guide

Set up AccuLynx 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 AccuLynx 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 AccuLynx 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 AccuLynx. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Common questions about AccuLynx MCP in Vercel AI SDK

Install the @ai-sdk/mcp package and define your transport via HTTP. Pass the Vinkius endpoint URL into createMCPClient. Call mcpClient.tools() to expose the roofing tools to your generateText function.

Yes, the streaming text features work perfectly here. When the agent fetches data using the list_payments tool, the financial records stream directly to your React frontend. Just remember to call mcpClient.close() when the session ends.

It runs natively on the Edge. You pass the Vinkius MCP endpoint token, and the SDK handles the rest. This keeps latency incredibly low for end users checking roofing job statuses.

The agent asks the user for it. Tools like get_job_details strictly require a valid job ID to run. The SDK will pause the tool call and prompt the frontend for the missing parameter.

Vinkius executes everything inside a V8 Isolate Sandbox. Your AccuLynx payment histories and customer names never touch persistent storage. The container dies the second the SDK closes the connection.

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