How to Use the GetStream MCP in Vercel AI SDK

Q: How does getfeed pagination work in Vercel AI SDK?

The agent passes cursor parameters to getfeed to fetch older activities. The Vercel AI SDK then appends these new items to your UI state on the fly.

Stream live social feeds directly into your Next.js frontend using GetStream and the Vercel AI SDK.

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Connect GetStream MCP to Vercel AI SDK

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

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Stream Live Feeds to Your Vercel AI SDK UI

Your users shouldn't stare at loading spinners while waiting for social updates. This GetStream MCP Server lets your Vercel AI SDK client fetch active streams using `get_feed` and stream the raw activity data directly into your React components in real time. When users post, your agent can instantly call `add_activity_to_feed` or update metadata with `update_activities`. The Vercel AI SDK handles the UI rendering on the fly, rendering new posts or profile updates without a single page refresh.

Real-Time Link Previews in Vercel AI SDK

Scraping metadata usually requires spinning up heavy serverless functions that slow down your app. Pass URLs from your Vercel AI SDK stream to `get_open_graph` to grab preview cards instantly while the LLM is still generating the response text. If users drop raw images into the chat, the agent triggers `upload_image` and `process_image` to resize them on the edge before attaching them to the GetStream activity object.

Manage Follow Graphs via Vercel AI SDK

Building follower networks shouldn't require complex API glue code in your Next.js backend. Your Vercel AI SDK agent can manage complex relationships directly by calling `follow_feed` or `unfollow_feed` based on natural language user requests. You can also fetch followers or following lists using `list_feed_followers` and `list_feed_follows` to render real-time social graphs right in the user's browser.

Setup guide

Set up GetStream 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 GetStream 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 GetStream transactions",
});

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GetStream. 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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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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Common questions about GetStream MCP in Vercel AI SDK

Install the required packages and initialize the client using the Vinkius HTTP endpoint. Pass the tools from your client directly to your generation function to let your agent call feed operations.

Yes. When a user imports a contact list, your Vercel AI SDK agent can bundle these requests and call `batch_follow` in a single execution step, keeping your edge functions fast.

Absolutely. The Vinkius MCP Server endpoint handles the heavy lifting, allowing your Vercel AI SDK edge runtime to remain lightweight and highly responsive.

The agent passes cursor parameters to `get_feed` to fetch older activities. The Vercel AI SDK then appends these new items to your UI state on the fly.

All activity feed data and user IDs are processed inside Vinkius's ephemeral V8 sandboxes. Your API keys are never exposed to the client-side Vercel AI SDK code via our secure MCP setup.

Use it with your favorite AI tools

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