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Friendbuy MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Friendbuy through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 Friendbuy, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Friendbuy
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High SecurityEnterprise-grade
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V8 IsolateSandboxed
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<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Friendbuy MCP Server

Connect your Friendbuy account to any AI agent to automate your referral programs and customer loyalty workflows through the Model Context Protocol (MCP). Friendbuy is a high-growth referral marketing platform that powers word-of-mouth campaigns for leading brands. This MCP server enables you to track referral events, log conversions, and retrieve reward distributions directly through natural conversation.

The Vercel AI SDK gives every Friendbuy tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

Key Features

  • Referral Rewards Tracking — List all distributed referral rewards and filter them by advocate to understand who your top promoters are.
  • Conversion Logging — Post purchase and signup events programmatically to trigger the referral reward lifecycle.
  • Code Generation & Verification — Create personal referral codes for customers and check their active statuses instantly.
  • Purchase History — Retrieve a list of all tracked purchases that have been attributed to referral campaigns.
  • Webhook Monitoring — List configured webhooks to ensure your internal systems are receiving real-time reward notifications.
  • API Health Checks — Verify your connection to both the Merchant API and Developer API v2 environments seamlessly.

The Friendbuy MCP Server exposes 8 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 Friendbuy to Vercel AI SDK via MCP

Follow these steps to integrate the Friendbuy MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 8 tools from Friendbuy and passes them to the LLM

Why Use Vercel AI SDK with the Friendbuy MCP Server

Vercel AI SDK provides unique advantages when paired with Friendbuy through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Friendbuy integration everywhere

03

Built-in streaming UI primitives let you display Friendbuy tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Friendbuy + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Friendbuy MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Friendbuy in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Friendbuy tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Friendbuy capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Friendbuy through natural language queries

Friendbuy MCP Tools for Vercel AI SDK (8)

These 8 tools become available when you connect Friendbuy to Vercel AI SDK via MCP:

01

check_api_connection

Verify API access

02

create_referral_code

Generate share code

03

get_referral_code_status

Check code status

04

list_referral_rewards

List awarded referrals

05

list_tracked_purchases

List tracked purchases

06

list_webhooks

List webhook configs

07

track_conversion_purchase

Log a purchase

08

track_conversion_signup

Log a signup

Example Prompts for Friendbuy in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Friendbuy immediately.

01

"List all recent referral rewards distributed."

02

"Generate a new referral code for customer 'user_123' (jane@email.com)."

03

"Track a $50 purchase for order 'ORD-987' from 'friend@email.com' using code 'JANE-REF-99'."

Troubleshooting Friendbuy MCP Server with Vercel AI SDK

Common issues when connecting Friendbuy to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Friendbuy + Vercel AI SDK FAQ

Common questions about integrating Friendbuy MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Friendbuy to Vercel AI SDK

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.