How to Use the Finch MCP in Vercel AI SDK

Stream real-time HR and payroll data directly into your Vercel AI SDK interface without the usual loading screen delays.

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Connect Finch MCP to Vercel AI SDK

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

Ask AI about this MCP

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Claude

Perplexity

Live HRIS data streaming

Pipe live employee details into your frontend. Use `list_directory` to fetch your team roster, then push that data to your UI in real-time. Your AI client populates the interface as the data arrives. It avoids the latency of standard REST requests by streaming directly from the MCP Server.

Individual payroll lookup

Query specific pay records on demand. Use `get_employment` and `list_pay_statements` to surface salary or tax data exactly when your user asks for it. This keeps your application state fresh. You get the raw JSON back from the server and render it instantly in your React or Next.js components.

Organization context management

Access legal entity details for your HR workflows. Call `get_company` to retrieve EINs and registered addresses for automated form generation. Everything stays within your edge function runtime. The connection remains secure while your AI client handles the heavy lifting of data parsing.

Setup guide

Set up Finch 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 Finch 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 Finch transactions",
});

console.log(text);
await mcpClient.close();

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Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Finch MCP in Vercel AI SDK

You install the MCP package and point it to the endpoint. Use `createMCPClient` in your code to establish the link, then pass the tools into your streamText function.

Yes. The tools stream results directly into your UI. You don't wait for a full response before the data hits the screen, which keeps your app feeling snappy.

Absolutely. Since the server runs on standard transport protocols, your edge functions can call these tools without needing a persistent backend server.

The server expects a standard endpoint token. You pass this through your client configuration to authorize all requests made by your agents.

Your data is handled via encrypted transport. The server only touches individual employment records and pay statements as requested by your specific tool calls.

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