How to Use the Emplifi MCP in Vercel AI SDK

Q: How do I use the Emplifi MCP Server with the Vercel AI SDK to build a dashboard?

Connect the server to your app using createMCPClient. Then, in your UI code, have your agent call tools like getsocialpostmetrics and stream the results directly into your React or Svelte components. The data appears live as it's generated.

Q: Can I filter which Emplifi tools are available to my Vercel AI SDK application?

Yes. When you get the tools list from mcpClient.tools(), you can filter the array in your own code before passing it to generateText. This lets you control exactly what your front-end agent can do.

Stream Emplifi social metrics directly into your UI with the Vercel AI SDK. No more loading spinners.

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Connect Emplifi MCP to Vercel AI SDK

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

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Live Social Dashboards in Your App

Stop showing your users stale data. Connect this MCP Server to the Vercel AI SDK and stream social analytics right into your React or Next.js components. When your agent calls `get_social_post_metrics`, the numbers update on screen as they arrive. It’s not just for posts. You can build a live influencer tracker with `get_influencer_performance_stats`. The data flows directly from Emplifi to your UI, giving you a real-time view of creator performance without a single page refresh.

Build Interactive Admin Panels

Give your social media team the tools they actually want to use. Your agent can call `list_social_profiles` to populate a dropdown menu. When a user selects a profile, your app immediately calls `list_social_posts` and streams the latest content right onto the page. This makes internal tools feel fast and responsive. You can even fetch account limits with `get_emplifi_account_metadata` to build UIs that show usage quotas, all updated in real time.

Stream CX Health Audits with the Vercel AI SDK

Create a simple status page for your customer experience operations. Add a button that tells your agent to run a `quick_cx_health_audit`. The Vercel AI SDK will stream the results directly into a summary component for your team to see. You can also list out all your active workflows by fetching `list_care_automation_rules`. It's a straightforward way to give managers a live, interactive view of your Emplifi setup without them ever leaving your app.

Setup guide

Set up Emplifi 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 Emplifi 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 Emplifi 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 Emplifi. 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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Common questions about Emplifi MCP in Vercel AI SDK

Connect the server to your app using `createMCPClient`. Then, in your UI code, have your agent call tools like `get_social_post_metrics` and stream the results directly into your React or Svelte components. The data appears live as it's generated.

Yes. When you get the tools list from `mcpClient.tools()`, you can filter the array in your own code before passing it to `generateText`. This lets you control exactly what your front-end agent can do.

You can build real-time social media dashboards, internal admin panels for managing profiles, or status pages that show live CX health audits. Because the Vercel AI SDK streams data, these UIs feel incredibly fast and responsive.

Yes, it's designed for it. You get a single endpoint token from Vinkius that handles authentication. The server connection is secured, and you can use the `authProvider` for more complex OAuth flows if needed.

Your data only passes through. The server, running in an ephemeral sandbox, processes requests for your social post metrics and profile info but doesn't store any of it. Vinkius handles the auth token, so your Emplifi credentials are never exposed to the server itself.

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