How to Use the Plecto MCP in Vercel AI SDK

Stream real-time sales metrics directly into your React UI using the Plecto MCP Server and Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Plecto MCP to Vercel AI SDK

Create your Vinkius account to connect Plecto to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup Plecto with Vercel AI SDK

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Live KPI Streaming in Vercel AI SDK

Pipe live sales data directly into your frontend components using `list_kpi_dashboards` and `list_widgets`. By connecting your app to this MCP Server, you bypass manual dashboard refreshes and show live performance data as it happens. Your users see numbers update in real-time as the AI pulls data through `get_dashboard`. It’s built for edge environments where latency matters and you need high-fidelity feedback loops for your sales teams.

Automated Data Ingestion

Push new sales records into your tracking system using `create_data_registration` without leaving your IDE. The tools handle the schema validation, ensuring your data hits the Plecto endpoint cleanly every time. Stop writing custom API wrappers for routine entries. Use the agent to trigger `list_data_registrations` to verify the state of your pipeline before you commit new entries to the ledger.

Employee Performance Tracking

Fetch team metrics and individual stats using `list_account_employees` and `get_employee`. You can query specific performance data and render it inside your interface for personalized sales coaching. This gives your application direct access to organizational structures defined in the backend. You’ll have the full scope of your team’s output at your fingertips without building an internal authentication layer.

Setup guide

Set up Plecto 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 Plecto 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 Plecto transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Plecto. 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

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

Connect Plecto now

Real-time monitoring

Live

visibility into every interaction

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 Plecto MCP in Vercel AI SDK

Install the MCP client package and point it to your server URL. Use `streamText` to call tools like `list_kpi_dashboards` to get your data flowing into the UI.

Yes, but you should implement your own retry logic in your client code. The server provides the tools, but your application manages the connection stability.

It provides the raw tool access, so you can poll the API at any interval you set. Your frontend will update as soon as the tool returns the fresh data.

Vinkius handles the endpoint security. You just need to pass your token to the client configuration.

Data stays within your secure connection tunnel. The MCP Server acts as a bridge, and no sensitive credentials are stored in your client-side code.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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