How to Use the GUIDEcx MCP in Vercel AI SDK

Stream GUIDEcx project data directly into your Vercel AI SDK frontends for real-time onboarding visibility.

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…and any MCP-compatible client

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Connect GUIDEcx MCP to Vercel AI SDK

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

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Real-time project tracking with Vercel AI SDK

Feed your UI live onboarding updates by piping `list_projects` output straight into your streaming text responses. Your users see progress blocks populate as the agent fetches them, removing the lag of standard API polling. This MCP Server handles the handshake so your Edge Functions stay lean. You just map the tool results to your components and let the state sync automatically.

Automate task updates for your Vercel AI SDK apps

Trigger status shifts using `update_task` directly from your chat interface. When your agent detects a milestone, it pushes the change to GUIDEcx without requiring a user to switch tabs. Everything happens in the background while the UI keeps the user informed. It's a clean way to handle project management inside your custom dashboard.

Manage time logs through Vercel AI SDK

Inject `create_time_record` into your workflow to capture billable hours as tasks finish. The AI handles the data entry, ensuring your logs stay current without manual input. Your front-end receives the confirmation immediately. It keeps your records accurate and your team focused on the implementation instead of admin.

Setup guide

Set up GUIDEcx 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 GUIDEcx 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 GUIDEcx 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 GUIDEcx. 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.

Connect GUIDEcx now

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 GUIDEcx MCP in Vercel AI SDK

You initialize the client using the Vercel MCP package and point it at the Vinkius endpoint. From there, you pass the tool definitions into your generateText call. It connects in seconds.

Yes. Because the server uses the standard protocol, your streamText calls will receive the tool output as part of the data stream. Your UI reacts to that data immediately.

It does. The lightweight transport ensures that your server-side logic remains fast. You won't hit timeouts even when pulling large project lists.

Wrap your tool calls in standard try-catch blocks within your API route. Since the server returns structured JSON, you can easily parse the error messages and display them to the user.

Vinkius isolates your session and handles all authentication tokens. Your project data stays inside the encrypted sandbox, and only your authenticated agent can trigger tools like `get_project`.

Use it with your favorite AI tools

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