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How to Use the Birdeye MCP in Vercel AI SDK

Stream Birdeye review data and survey feedback directly into your Vercel AI SDK frontends for real-time customer insights.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Birdeye MCP to Vercel AI SDK

Create your Vinkius account to connect Birdeye 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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Manage customer feedback in Vercel AI SDK

Feed live review data into your React components using `list_reviews`. Your users see exactly what customers are saying without waiting for backend roundtrips. Trigger a check-in flow with `checkin_customer` when a user interacts with your UI. The Vercel AI SDK handles the streaming state while the server executes the action.

Sync business data through your MCP Server

Fetch organizational details with `get_business_info` to populate your dashboard dynamically. It saves you from hardcoding location IDs in your frontend logic. Use `list_locations` to map out your entire footprint. Your app updates the list automatically as soon as the MCP Server returns the payload.

Automate survey responses in your UI

Pull specific survey results using `get_survey_responses` to show trends in your app. It keeps your data fresh and relevant for your end users. Respond to incoming critiques with `reply_to_review` right from your interface. You no longer need to switch tabs to handle customer sentiment.

Setup guide

Set up Birdeye 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. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Birdeye tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 Birdeye transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Birdeye. 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.

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 Birdeye MCP in Vercel AI SDK

Install the MCP packages and pass the transport URL to the client constructor. You'll then map the tool definitions into your text generation functions.
Yes, use the `list_contacts` tool to grab your database records. You can then display these details in your React or Next.js components.
It does. Since the server handles the heavy lifting, your edge functions stay lightweight and responsive.
Call `get_review_summary` and stream the output to your frontend. The data populates your view as it arrives from the server.
Your contact records stay encrypted in transit. We use token-based authentication to ensure only your specific instance accesses your private data.

Start using the Birdeye MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Birdeye. Just plug in your AI agents and start using Vinkius.

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