How to Use the 15Five MCP in Vercel AI SDK

Q: Can Vercel AI SDK read 15Five OKRs?

Yes, the listobjectives tool exposes company and individual goals. Your agent can read these targets and stream progress updates into your Svelte or Vue application.

Build live HR dashboards in Next.js by connecting Vercel AI SDK to 15Five data.

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Connect 15Five MCP to Vercel AI SDK

Create your Vinkius account to connect 15Five 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 15Five with Vercel AI SDK

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Stream 15Five check-ins to Vercel AI SDK

The `list_checkins` tool grabs recent employee performance reports and sentiment data straight from the 15Five MCP Server. Your Next.js app streams this context directly into the browser while the LLM drafts a summary. Users hate staring at loading spinners during heavy HR data pulls. Passing these tools into `streamText` means managers see the AI analyzing their team's weekly updates in real time.

Map out team structures fast

Calling `list_departments` alongside `list_users` gives your AI client instant access to the company hierarchy. It pulls active employee records and department IDs without writing custom API wrappers. You pass the `mcpClient.tools()` array directly to your prompt. The agent figures out who reports to whom and formats the results for your React frontend.

Build real-time High Five components

The `list_high_fives` tool pulls public recognition data across the organization. You can also let users trigger the `send_high_five` tool to praise colleagues directly from your custom UI. Firing off a quick kudos just requires an email address and a personal message. Always remember to call `mcpClient.close()` after the transaction finishes to keep your Edge Functions clean.

Setup guide

Set up 15Five 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 15Five 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 15Five 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 15Five. 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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Common questions about 15Five MCP in Vercel AI SDK

Install the @ai-sdk/mcp package first. Initialize it using createMCPClient with your Vinkius HTTP transport URL. Then pass the resulting tools into your generation functions.

Yes, the list_objectives tool exposes company and individual goals. Your agent can read these targets and stream progress updates into your Svelte or Vue application.

Vinkius handles the underlying credentials via an isolated V8 sandbox. You just pass your endpoint token through the authProvider configuration when setting up the client.

The HTTP transport layer works perfectly on Edge Functions. Just ensure you close the connection when the streaming response finishes.

Performance check-ins and OKR details never linger on our infrastructure. The Vinkius MCP Server operates within an ephemeral environment that reads the data, passes it to your application, and immediately destroys the container.

Use it with your favorite AI tools

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