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How to Use the Google Contacts MCP in Vercel AI SDK

Build live contact management into your UI with the Vercel AI SDK and Google Contacts.

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Works with every AI agent you already use

…and any MCP-compatible client

Google Contacts MCP on Cursor AI Code Editor MCP Client Google Contacts MCP on Claude Desktop App MCP Integration Google Contacts MCP on OpenAI Agents SDK MCP Compatible Google Contacts MCP on Visual Studio Code MCP Extension Client Google Contacts MCP on GitHub Copilot AI Agent MCP Integration Google Contacts MCP on Google Gemini AI MCP Integration Google Contacts MCP on Lovable AI Development MCP Client Google Contacts MCP on Mistral AI Agents MCP Compatible Google Contacts MCP on Amazon AWS Bedrock MCP Support
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Vercel AI SDK

Connect Google Contacts MCP to Vercel AI SDK

Create your Vinkius account to connect Google Contacts 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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Real-time contact lookups

Stream contact details directly into your frontend components using `list_contacts` and `get_contact`. Your users see information populate instantly as the AI processes their request. Stop relying on static loading states. By piping tool output through the SDK, your interface stays reactive while the agent fetches data from your address book.

Dynamic contact creation

Use `create_contact` to capture lead data from chat inputs without leaving your application. The SDK handles the streaming state so your form fields update as the agent finishes writing the entry. This keeps the user flow inside your app. You get a clean record in your account without switching tabs or opening external dashboards.

Iterative contact updates

Perform precise modifications with `update_contact` by passing the required etag. This ensures you never overwrite data accidentally while your agent is busy processing edits. It handles the handshake between your UI and the API. Your users get reliable feedback that their changes actually hit the server.

Setup guide

Set up Google Contacts 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. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Google Contacts tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 Google Contacts transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Google Contacts. 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.

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 Google Contacts MCP in Vercel AI SDK

You pass the `search_contacts` tool to your agent and define a text input for the query. The SDK executes the search and returns the results to your stream handler.
Yes, you use `list_contact_groups` to pull your categories. Your agent can then filter or assign contacts based on those specific group IDs.
The tools operate on individual records to maintain data integrity. You trigger each operation through the SDK's tool-calling loop for specific contacts.
The Vercel AI SDK reports the error through your standard stream callbacks. You can catch these exceptions to notify the user immediately.
Yes, this MCP Server operates within a V8 sandbox. It only accesses the specific contacts you authorize via your own OAuth credentials.

Start using the Google Contacts MCP today

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Built & Managed by Vinkius 30s setup 9 tools

We've already built the connector for Google Contacts. Just plug in your AI agents and start using Vinkius.

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All 9 tools are live and waiting. You're up and running in seconds.

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