How to Use the Bonusly MCP in Vercel AI SDK

Q: How do I stream Bonusly feeds using the Vercel AI SDK?

Call mcpClient.tools() and pass them to streamText. The SDK handles the transport layer, letting your UI render active updates as listbonuses fetches the data.

Q: Can I let users give points to coworkers with Bonusly and Vercel AI SDK?

Yes, by exposing givebonus to your agent. The Vercel AI SDK processes the user's natural language input, confirms the recipient, and executes the point transfer.

Q: What is the cleanest way to display the Bonusly leaderboard in my Vercel AI SDK app?

Use the getleaderboard tool within your streaming function. The Vercel AI SDK pushes the raw JSON payload directly to your React hooks for immediate rendering.

Pipe live Bonusly recognition and leaderboards directly into your React components with the Vercel AI SDK.

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Connect Bonusly MCP to Vercel AI SDK

Create your Vinkius account to connect Bonusly 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 Bonusly with Vercel AI SDK

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Render live team recognition in React with this MCP Server

Displaying peer recognition shouldn't require slow page reloads. This endpoint lets your Vercel AI SDK client fetch real-time recognition metrics using `get_leaderboard` and stream them straight to your user interface. Your team sees who is winning the monthly appreciation race the second the data drops. Because the SDK handles streaming chunks directly, you don't make users stare at blank loading states. Passing `list_bonuses` to your streaming text generator populates custom feed cards on the fly.

Direct Peer Recognition from Chat Input

Users can type a quick appreciation message in a chat box and watch this MCP Server execute the transaction instantly. The agent parses the recipient and context, then triggers `give_bonus` without forcing the user to leave your custom dashboard. You get instant UI feedback showing the updated point balances. Fetching the latest profile stats via `get_my_profile` updates the sidebar component in the same render loop.

Interactive Hashtag and Value Selectors

Match your company values to actual bonuses by letting the agent inspect your organization's core pillars. The SDK calls `list_company_values` to verify which corporate behaviors deserve points. It also checks popular trends using `list_hashtags` to suggest relevant tags right inside the chat window. This keeps your custom UI perfectly aligned with your actual Bonusly configuration.

Setup guide

Set up Bonusly 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 Bonusly 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 Bonusly 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 Bonusly. 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 Bonusly MCP in Vercel AI SDK

Call `mcpClient.tools()` and pass them to `streamText`. The SDK handles the transport layer, letting your UI render active updates as `list_bonuses` fetches the data.

Yes, by exposing `give_bonus` to your agent. The Vercel AI SDK processes the user's natural language input, confirms the recipient, and executes the point transfer.

This server is built to run in lightweight, edge-compatible environments. You can import the HTTP client directly inside your Next.js edge routes without hitting cold start delays.

Use the `get_leaderboard` tool within your streaming function. The Vercel AI SDK pushes the raw JSON payload directly to your React hooks for immediate rendering.

All employee recognition data and point balances stay strictly inside Vinkius's sandboxed environment. Your API tokens are never exposed to the client browser, keeping your internal reward records safe.

Use it with your favorite AI tools

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