How to Use the Lucidya MCP in Vercel AI SDK

Stream real-time social sentiment and customer data directly into your Vercel AI SDK frontends.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Lucidya MCP to Vercel AI SDK

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

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Live social monitoring for your AI SDK app

Feed social monitor data directly into your UI components without waiting for backend roundtrips. You use `list_social_monitors` and `get_monitor_details` to pipe live metrics into your React or Next.js dashboard. Your users see the data stream in as it happens. Since this MCP Server works with edge functions, you keep your latency low and your UI responsive.

Instant sentiment analysis in Vercel AI SDK

Pass incoming social posts through `analyze_text_sentiment` to display immediate emotional context. Your agent can then classify the mood of the conversation before the user even finishes reading the post. This keeps the feedback loop tight. By using `detect_arabic_dialect` alongside sentiment calls, you provide regional nuance that standard tools miss.

Customer profile access for Vercel AI SDK

Query your CDP to pull specific user details right when your agent needs them. Calling `list_cdp_customers` and `get_customer_profile` gives your agent the context to personalize every response. Everything stays in the stream. You avoid bulky state management by pulling data on demand as the user interacts with your interface.

Setup guide

Set up Lucidya 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 Lucidya 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 Lucidya 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 Lucidya. 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.

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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 Lucidya MCP in Vercel AI SDK

Install the MCP client via npm and initialize the connection using your endpoint. Pass the tools directly into your `generateText` or `streamText` configuration to make them available to your agent.

Yes. The tools stream results directly into your frontend, allowing you to update your UI state as data arrives. It behaves like any other function call within your streaming logic.

It does. The transport layer is designed for lightweight requests, making it compatible with edge environments where you need fast, reliable data retrieval.

The client returns an error that you can catch in your standard promise chain. You should handle these as you would any other async operation to keep your UI from hanging.

Your data stays within the ephemeral session established by the MCP connection. The server only touches your customer profiles when you explicitly trigger a tool call to read them.

Use it with your favorite AI tools

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