How to Use the Envoy MCP in Vercel AI SDK

Q: Is it possible to list locations with the Envoy MCP Server?

Use the listlocations tool to retrieve your office list. You can then map these IDs to your other booking functions in the SDK.

Stream real-time Envoy office data directly into your Vercel AI SDK applications for live desk and visitor management.

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Connect Envoy MCP to Vercel AI SDK

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

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Live desk booking via Vercel AI SDK

Call `reserve_desk` or `cancel_desk_reservation` directly within your edge functions. Your users get immediate feedback as the state updates in your UI. Stop waiting for page refreshes. Use `list_desks` to show available spots while the AI prepares the transaction.

Real-time visitor tracking for Envoy

Inject `pre_register_visitor` into your workflow to handle guest arrivals automatically. The data flows through your stream so the user stays in the loop. Check status using `list_visitors` to verify if a guest has checked in. It happens as the event triggers, keeping your dashboard current.

Office capacity monitoring

Pull `get_capacity` and `get_employee_signins` to visualize building density. You can pipe this data straight into your frontend components. Display these metrics as the AI generates them. It provides an instant look at office usage without complex backend polling.

Setup guide

Set up Envoy 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 Envoy 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 Envoy transactions",
});

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

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Common questions about Envoy MCP in Vercel AI SDK

Install the MCP packages and define your client with the Envoy endpoint. You then pass the server tools into your generateText function to start executing operations.

Yes, you manage the authentication token within the MCP configuration. The server ensures that every request to `reserve_desk` is properly validated before execution.

It does. Because the tools are integrated into the SDK, the results return as part of the stream, allowing your UI to update the moment the action completes.

Use the `list_locations` tool to retrieve your office list. You can then map these IDs to your other booking functions in the SDK.

The server only touches the specific visitor records you query. It operates inside a restricted sandbox, ensuring that no sensitive personal information is stored or leaked.

Use it with your favorite AI tools

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