How to Use the UnifyApps MCP in Vercel AI SDK

Q: How do I check flow history using UnifyApps and Vercel AI SDK?

You call the listflowexecutions tool. This returns a list of recent execution logs for your front end to stream in real-time, showing users exactly when things ran and what happened.

Q: Does UnifyApps support listing all configured integrations with Vercel AI SDK?

Yep. Just use listintegrations. This tool retrieves a complete list of every integration set up within the UnifyApps platform, giving your UI comprehensive data to display.

Q: Can I list all defined automation workflows using UnifyApps and Vercel AI SDK?

Absolutely. The listautomationflows tool pulls every flow defined in UnifyApps. You'll get a clean array of workflow names and IDs that you can map right into your React components.

Q: If I need to check agent setup details, which MCP Server function do I use with UnifyApps and Vercel AI SDK?

You'll want listaiagents. This tool queries the entire UnifyApps environment and gives you a list of all agents that have been configured for use.

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Connect UnifyApps MCP to Vercel AI SDK

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

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Monitor Workflow Status via MCP Server

Use `list_flow_executions` to pull recent results from UnifyApps. You can show users the history of an automated process as it finishes, instead of just a 'loading' state. Another useful one is `list_automation_flows`. This lets your front end grab all defined workflows so you can display them in a sidebar list right away.

Audit Connections on the Fly

When a user needs to check if their account connection is active, call `list_active_connections`. Your AI client streams this data immediately, letting the user see exactly which accounts are linked. Need deeper insight? Use `list_integrations` to list every single integration configured in UnifyApps. This helps build a quick audit dashboard.

Display Agent and Integration Details

The tool `list_ai_agents` lists all agents set up inside the system. You can use this data to populate a dropdown menu in your Next.js app, letting users select which agent they want to interact with. If you need details on one specific connection point, run `get_integration_details`. This gives you granular info about that single integration.

Setup guide

Set up UnifyApps 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 UnifyApps 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 UnifyApps 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 UnifyApps. 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.

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Common questions about UnifyApps MCP in Vercel AI SDK

You call the `list_flow_executions` tool. This returns a list of recent execution logs for your front end to stream in real-time, showing users exactly when things ran and what happened.

Yep. Just use `list_integrations`. This tool retrieves a complete list of every integration set up within the UnifyApps platform, giving your UI comprehensive data to display.

This server primarily touches connection status. Specifically, it deals with reading active account connections when you call `list_active_connections`. You're just viewing the status here.

Absolutely. The `list_automation_flows` tool pulls every flow defined in UnifyApps. You'll get a clean array of workflow names and IDs that you can map right into your React components.

You'll want `list_ai_agents`. This tool queries the entire UnifyApps environment and gives you a list of all agents that have been configured for use.

Use it with your favorite AI tools

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