How to Use the Avaza MCP in Vercel AI SDK

Push Avaza project data straight into your Vercel AI SDK frontends for live, streaming updates.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Avaza MCP to Vercel AI SDK

Create your Vinkius account to connect Avaza 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.

GDPR Free for Subscribers

Setup Avaza with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Stream project updates to Vercel AI SDK

Pipe `create_task` or `create_project` results directly into your React components without waiting for background processes. Your users see the confirmation as it happens. This MCP server pushes raw JSON from Avaza into `streamText` calls. It keeps your UI responsive and avoids the usual lag when dealing with external project data.

Track time from your Vercel AI SDK interface

Feed `create_timesheet` inputs through your AI chat interface to log hours instantly. The SDK handles the heavy lifting while the tool updates your records. Developers can build custom dashboards that write data back to Avaza. You don't need to leave your app to keep your billable hours accurate.

Query invoices via Vercel AI SDK

Use `list_invoices` to pull financial records directly into your next-gen dashboard. Your front-end logic handles the filtering while the tool fetches the data. Displaying recent billing history becomes trivial when you map these tool outputs to local state. It keeps your financial tracking contained within your own product environment.

Setup guide

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

You initialize the client with the provided endpoint URL in your TypeScript code. Once configured, you pass the Avaza tool definitions into your generateText calls to enable direct data interaction.

Yes, the tool outputs stream directly into the client. You can display Avaza project updates or timesheet entries to your end users as soon as the API returns them.

You can trigger invoice listing or task creation based on your own logic. By wiring Avaza tools into your agent prompts, you automate the data retrieval process within your Vercel AI SDK application.

You need an endpoint token from your Vinkius dashboard. This token handles the handshake between your Vercel AI SDK environment and the Avaza server.

Vinkius runs this in an isolated environment. Your Avaza contacts and financial records stay within the ephemeral session, ensuring no unauthorized access occurs during your build.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript