Endorsal Testimonials MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Endorsal Testimonials through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Endorsal Testimonials, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Endorsal Testimonials MCP Server
Integrate Endorsal, the fully automated testimonial collection platform, directly into your AI workflow. Manage your collected testimonials and customer ratings, track display widgets and website properties, monitor pending reviews and approval statuses, and oversee your social proof using natural language.
The Vercel AI SDK gives every Endorsal Testimonials tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Testimonial Oversight — List and retrieve detailed content, customer ratings, and photos for all your collected testimonials.
- Widget Intelligence — Monitor display widgets and properties, resolving widget types and deployment identifiers across your brands.
- Approval Management — Access and approve pending testimonials, ensuring high-quality social proof is published instantly.
- Social Proof Auditing — Retrieve high-level summaries of review volumes, widget activity, and organizational social proof health instantly.
The Endorsal Testimonials MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Endorsal Testimonials to Vercel AI SDK via MCP
Follow these steps to integrate the Endorsal Testimonials MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Endorsal Testimonials and passes them to the LLM
Why Use Vercel AI SDK with the Endorsal Testimonials MCP Server
Vercel AI SDK provides unique advantages when paired with Endorsal Testimonials through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Endorsal Testimonials integration everywhere
Built-in streaming UI primitives let you display Endorsal Testimonials tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Endorsal Testimonials + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Endorsal Testimonials MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Endorsal Testimonials in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Endorsal Testimonials tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Endorsal Testimonials capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Endorsal Testimonials through natural language queries
Endorsal Testimonials MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Endorsal Testimonials to Vercel AI SDK via MCP:
approve_pending_testimonial
Approve a pending testimonial for public display
get_endorsal_account_metadata
Retrieve metadata and limits for your Endorsal account
get_testimonial_details
Get full content and metadata for a specific testimonial
list_account_properties
List all properties (websites/brands) managed in your account
list_all_testimonials
List all testimonials collected in your Endorsal account
list_display_widgets
g. wall of love, badge), and unique identifiers. List all display widgets configured in your account
list_latest_testimonials
Identify the most recently collected testimonials
list_pending_testimonials
Identify testimonials that are currently awaiting approval
quick_social_proof_audit
Retrieve a high-level summary of testimonials and widget activity
search_testimonials_by_keyword
Search for testimonials using a customer name or testimonial keyword
Example Prompts for Endorsal Testimonials in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Endorsal Testimonials immediately.
"List all my collected testimonials."
"Show me the display widgets configured."
"Approve testimonial ID 'TEST-12345'."
Troubleshooting Endorsal Testimonials MCP Server with Vercel AI SDK
Common issues when connecting Endorsal Testimonials to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpEndorsal Testimonials + Vercel AI SDK FAQ
Common questions about integrating Endorsal Testimonials MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Endorsal Testimonials with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Endorsal Testimonials to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.