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How to Use the OneLocal LocalReviews MCP in Vercel AI SDK

Feed live customer review streams and reputation metrics directly into your React components using Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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MCP Servers — Included with Plan
Vinkius runs on Vercel AI SDK

Connect OneLocal LocalReviews MCP to Vercel AI SDK

Create your Vinkius account to connect OneLocal LocalReviews to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Stream live business reviews straight to your UI

The `list_reviews` tool pulls your latest customer feedback from the API so your interface stays current. Instead of making users wait for a full page reload, the Vercel AI SDK streams these text blocks directly into your Next.js frontend as they arrive. You can also fetch specific details using `get_review` to display deep-dive customer feedback. This setup eliminates loading spinners by letting your UI render each review node the millisecond the server transmits it.

Real-time reputation score updates via MCP Server

The `get_reputation` tool fetches your aggregate rating and sentiment scores across all business locations. By connecting this MCP Server to your Edge Functions, you can build dynamic dashboards that display live reputation shifts without slow database queries. If you manage multiple storefronts, `list_locations` and `get_location` help you organize these scores by branch. The streaming connection ensures your administrative dashboards render location data instantly as your AI client processes the payload.

Trigger instant review invites from the edge

The `request_review` tool sends out SMS or email invitations to customers immediately after a transaction. Using the Vercel AI SDK and this MCP Server, your app can trigger these outbound messages based on user actions in your web app, ensuring high-speed delivery. You can monitor the progress of these outreach efforts with `list_campaigns` and `get_campaign`. Running this pipeline on edge infrastructure keeps your customer-facing checkout flows fast while background tasks handle the review solicitation.

Setup guide

Set up OneLocal LocalReviews 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 OneLocal LocalReviews 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 OneLocal LocalReviews 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 OneLocal LocalReviews. 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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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 OneLocal LocalReviews MCP in Vercel AI SDK

Run `npm install ai @ai-sdk/mcp` and instantiate the MCP client using `createMCPClient` with your Vinkius HTTP URL. Pass the tools directly into `streamText` or `generateText` and remember to call `mcpClient.close()` when the session ends.
Yes, the `list_reviews` tool outputs raw text that streams directly into your React components. This lets your customers see live feedback feed into your UI without waiting for a backend queue to finish processing.
Yes, this setup uses `list_locations` to identify every branch associated with your account. Your Vercel AI SDK client can then loop through these IDs to display distinct review metrics for each physical storefront.
Use the `check_onelocal_status` tool inside your initialization block to test the endpoint before running client queries. This prevents your streaming UI from hanging if the external API experiences latency.
All customer phone numbers, emails, and review bodies are processed inside an ephemeral, zero-trust V8 Isolate Sandbox on Vinkius. The server never stores your contact lists or review texts, keeping your customer data completely isolated from external logs.

Start using the OneLocal LocalReviews MCP today

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

Built & Managed by Vinkius 30s setup 10 tools

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