How to Use the Armano MCP in Vercel AI SDK

Q: How do I connect Armano to Vercel AI SDK?

Install @ai-sdk/mcp and set up your transport layer. Use createMCPClient with the Vinkius endpoint. Pass the resulting mcpClient.tools() into your streamText call.

Q: Can Vercel AI SDK stream Armano time entries to React?

Yes. When the agent calls listtimeentries, the results flow back through the SDK's streaming response. Your frontend components update live as the JSON arrives.

Build live HR dashboards in React with Vercel AI SDK pulling real-time employee and project data.

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Connect Armano MCP to Vercel AI SDK

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

Ask AI about this MCP

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Claude

Perplexity

Stream Armano data via Vercel AI SDK

You want your users to see their logged hours without staring at a loading state. Connecting this MCP Server to your frontend means you stream data straight from the source. The AI grabs what it needs and drops it into your UI components instantly. Run `list_time_entries` to pull down records for a specific date range. Your React app renders those rows as they arrive. If someone asks for project details, `get_project` fires off and populates the dashboard right before their eyes.

Manage time and leave requests

Employees hate clunky time-tracking interfaces. Let them chat with your custom Edge Function to log their hours. They just type what they did, and the system handles the backend formatting. The LLM maps their natural language to `create_time_entry`. It can also check `list_leaves` to see who is out sick today. You build the conversational interface, and this tool handles the actual database commits.

Query org charts instantly

Finding out who works in which department usually requires clicking through three different internal wikis. Now your users just ask the chat window. The agent reaches into the company directory and pulls out exact matches. It uses `list_departments` to grab the high-level structure, then drills down with `list_employees` or `get_employee` to find a specific person. No custom MCP API routes are required on your end.

Setup guide

Set up Armano 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 Armano 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 Armano 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 Armano. 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.

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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 Armano MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and set up your transport layer. Use `createMCPClient` with the Vinkius endpoint. Pass the resulting `mcpClient.tools()` into your `streamText` call.

Yes. When the agent calls `list_time_entries`, the results flow back through the SDK's streaming response. Your frontend components update live as the JSON arrives.

It runs perfectly on Vercel Edge. Since Vinkius handles the actual server hosting, your edge route just makes a quick HTTP call to verify `check_armano_status`.

Provide your Vinkius endpoint token in the connection setup. You do not need to build custom OAuth flows for every single user. The hosted proxy manages the persistent connection.

Vinkius executes everything inside an ephemeral V8 Isolate Sandbox. When your app reads employee details or leave requests, the connection drops immediately after the request finishes. Nothing gets stored.

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