How to Use the Endorsal Testimonials MCP in Vercel AI SDK

Q: How do I filter Endorsal Testimonials in my Vercel AI SDK app?

Use the searchtestimonialsbykeyword tool. It lets you query specific customer names or terms directly from your agent logic.

Q: Can Vercel AI SDK automatically approve Endorsal Testimonials?

Yes. You can trigger approvependingtestimonial once your agent confirms the content meets your standards. It simplifies the publication cycle significantly.

Stream Endorsal Testimonials data directly into your Vercel AI SDK frontends for live, real-time social proof updates.

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Connect Endorsal Testimonials MCP to Vercel AI SDK

Create your Vinkius account to connect Endorsal Testimonials 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 Endorsal Testimonials with Vercel AI SDK

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Real-time testimonial streaming with AI SDK

Pipe testimonial data straight into your UI components without waiting for backend roundtrips. Your agent fetches content using `list_latest_testimonials` and pushes it to the client for immediate rendering. This keeps your interface snappy. Users see reviews appear as the AI processes them, creating a fluid experience that feels like a native app feature rather than a fetched database record.

Automated review management in your workflow

Give your agent the ability to act on incoming feedback by using `approve_pending_testimonial`. It checks the queue, validates the content, and pushes approved reviews to your site instantly. This removes the manual bottleneck of logging into your dashboard. Your Vercel AI SDK application handles the heavy lifting while you focus on building features.

Audit your social proof health

Run `quick_social_proof_audit` to get a pulse on your account status. It returns high-level metrics so your application can warn you if widgets are misconfigured or review volume drops. This data helps you build custom dashboards that monitor your brand reputation. It provides the visibility needed to keep your social proof strategy on track.

Setup guide

Set up Endorsal Testimonials 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 Endorsal Testimonials 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 Endorsal Testimonials 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 Endorsal Testimonials. 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.

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Common questions about Endorsal Testimonials MCP in Vercel AI SDK

Use the `search_testimonials_by_keyword` tool. It lets you query specific customer names or terms directly from your agent logic.

Yes. You can trigger `approve_pending_testimonial` once your agent confirms the content meets your standards. It simplifies the publication cycle significantly.

The server uses your unique API token to authenticate requests. Your data stays scoped to your account, and no sensitive credentials are ever exposed in your client-side code.

The tool returns a standard error object. You should handle this in your Vercel AI SDK stream to inform the user or retry the request.

It only accesses the data you explicitly query through the tools. All interactions are ephemeral and strictly limited to your account's specific endpoints.

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