How to Use the Lancerkit MCP in Vercel AI SDK

Stream Lancerkit data directly into your Vercel AI SDK frontends for real-time invoice and task updates without the loading spinners.

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…and any MCP-compatible client

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Connect Lancerkit MCP to Vercel AI SDK

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

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Real-time invoice data streaming

Feed invoice details straight into your UI components. Your agent uses `get_invoice` to pull payment statuses the moment they hit the server. This keeps your application state current. Users see the numbers change live as your AI client processes the latest billing data.

Instant task tracking

Keep your dashboard in sync with actual work logs. Your agent calls `list_tasks` and `get_time_logs` to populate project views instantly. Everything happens on the edge. You avoid latency by fetching exactly what the interface needs to render the current workload.

Client management in the browser

Build interactive admin panels using `list_clients` and `get_client`. Your agent handles the heavy lifting of fetching metadata behind the scenes. It removes the need for manual API wiring. Your code stays clean while your users interact with live data directly in their browsers.

Setup guide

Set up Lancerkit 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 Lancerkit 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 Lancerkit 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 Lancerkit. 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 Lancerkit 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 Lancerkit MCP in Vercel AI SDK

Install the MCP packages and use the createMCPClient function. You point the URL to your Vinkius endpoint and pass the tools into your generateText call.

Yes, because the tools stream results back to the client. You can pipe these outputs into your React or Next.js components for immediate display.

You can select which tools to expose when you initialize the client. This keeps your agent focused on specific tasks like listing invoices.

Vinkius handles the auth layer. You just need your endpoint token to keep the transport encrypted between your frontend and the server.

Your client only accesses the specific billing records and project logs you authorize. No raw database access exists, and all requests require your active session token.

Use it with your favorite AI tools

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