How to Use the Insightful MCP in Vercel AI SDK

Stream real-time productivity data directly into your UI with the Vercel AI SDK and the Insightful MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Insightful MCP to Vercel AI SDK

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

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Real-time productivity streaming

Feed live performance metrics into your React or Next.js components without waiting for background jobs to finish. By calling `get_productivity` through the SDK, you push data straight to the browser. Your users see the numbers populate instantly. It creates a responsive dashboard experience that feels native to the application.

Automated task monitoring

Sync your task lists by pulling from `list_tasks` directly into your application state. You define the update interval to keep the view fresh. This method eliminates the need for manual refreshes. You get a live view of project status within your own custom interface.

Employee activity visualization

Visualize logs from `list_activity` to track project progress in your frontend. You map these events to custom UI components for a clearer overview. It connects raw logs to your visual design. You control exactly how the data appears to the end user.

Setup guide

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

Use the MCP client to fetch tools and pass them into your generateText call. It connects your app to the server via the protocol. You handle the tool output as part of your streaming response.

Yes, it provides raw metrics for your interface. The data is as accurate as the API response. You decide how to format it for your users.

It provides context for better decision-making. The agent reads the output to understand current project throughput. It doesn't change the model, just the information available.

The stream will halt. You should implement error handling in your UI to alert the user. It prevents the application from hanging indefinitely.

We only touch activity and productivity logs. The data stays within the secure connection between your server and the endpoint. No personal credentials are stored locally.

Use it with your favorite AI tools

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