How to Use the Interact Software MCP in Vercel AI SDK

Q: How do I perform a search in Interact Software using the Vercel AI SDK?

You initialize the client with the server URL and pass the search tool into your generateText configuration. Once connected, your agent calls the function with a query string to get back formatted results.

Stream real-time Interact Software data directly into your Vercel AI SDK frontends for live, responsive UI updates.

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Connect Interact Software MCP to Vercel AI SDK

Create your Vinkius account to connect Interact Software 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 Interact Software with Vercel AI SDK

Ask AI about this MCP

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Perplexity

Real-time intranet data streaming

Feed your UI live updates by piping `list_news` or `list_events` data through your streamText responses. Your users watch the data populate in real-time without staring at a loading spinner. Everything happens over standard HTTP transports. You get clean, typed tool results that integrate instantly into your React or Next.js components.

Granular user and content lookups

Trigger `get_person` or `list_content` calls based on user input to fetch specific metadata on the fly. This keeps your application state light by only pulling what you need when you need it. Don't bloat your initial load. Use the tools to hydrate your UI with exact details from the Interact Software backend as the conversation progresses.

Efficient discovery with search

Use the `search` tool to let your AI agent find relevant records across the entire organization. It's the fastest way to bridge the gap between a vague user prompt and a specific internal document. Combine this with `list_departments` or `list_locations` to map out organizational hierarchies. Your Vercel AI SDK app handles the heavy lifting, keeping the conversation focused.

Setup guide

Set up Interact Software 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 Interact Software 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 Interact Software 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 Interact Software. 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 Interact Software MCP in Vercel AI SDK

You initialize the client with the server URL and pass the `search` tool into your `generateText` configuration. Once connected, your agent calls the function with a query string to get back formatted results.

Yes, the transport layer is fully compatible with edge runtimes. You just need to ensure your environment variables for the endpoint are set correctly.

You handle filtering by processing the tool output before it hits your frontend state. The server returns raw data, and you decide what to display.

The SDK throws an error you can catch in your tool execution logic. You should implement a standard try-catch block around your tool calls.

All data flows directly between your app and the MCP server. We don't touch your intranet credentials or record the specific employee records you retrieve.

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