How to Use the LinkedIn MCP in Vercel AI SDK

Stream real-time LinkedIn data directly into your Vercel AI SDK interface without waiting for slow loading spinners.

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Connect LinkedIn MCP to Vercel AI SDK

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

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Live profile and organization data

Feed your UI with `get_me` and `list_organizations` results as they arrive. Your users see the data populate immediately, creating a responsive feel that standard API calls lack. This MCP Server pushes data through the SDK transport layer. You don't manage state manually; you just pipe the tool output into your React or Svelte components.

Automated post creation in the browser

Trigger `create_post` directly from your frontend controls. The tool handles the request structure while your app manages the user experience. It removes the need for custom backend endpoints for simple updates. You keep your logic in the client and let the server handle the handshake with the social network.

Email and history auditing

Use `get_email` and `list_posts` to verify user accounts or display activity history. It's a quick way to show relevant profile info without building a full integration. Everything stays within your stream. You get the raw data from the tool and present it exactly how your design system dictates.

Setup guide

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

Install the necessary packages and initialize the client using the HTTP transport. Once connected, you map the tools to your generateText calls to start pulling data.

The server manages the connection, but you should still implement error handling in your UI. If a call fails, show the user a clear message so they know what happened.

Yes, the Vinkius hosting environment secures your credentials. Your app only sees the data returned by specific tools like `get_me` or `get_organization`.

The tools return the data objects immediately. You can pipe these into your UI stream so the user sees the confirmation as soon as the API responds.

The server uses a short TTL cache. If you need fresh data after a `create_post` action, just trigger a new tool request to fetch the latest state.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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