How to Use the Envoy MCP in Mastra AI

Q: Can I manage multiple office locations in Envoy via Mastra AI?

You can. The agent uses listlocations to identify the correct office and then routes the subsequent tool calls to that specific ID.

Build resilient office workflows using Mastra AI and the Envoy MCP Server.

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Connect Envoy MCP to Mastra AI

Create your Vinkius account to connect Envoy to Mastra AI 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 Mastra AI

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Automated desk management for Mastra AI

Chain `list_desks` and `reserve_desk` into your agent workflows. If a reservation fails, the framework handles the logic to retry or alert you. It removes the need for manual oversight. The agent handles the desk lifecycle from selection to final confirmation.

Visitor workflow automation

Use `pre_register_visitor` as part of your guest entry pipeline. You can add conditional steps to verify visitor details before the registration hits Envoy. This keeps your front desk operations moving. Agents check `list_visitors` to confirm entry before moving to the next task.

Office logistics with Mastra AI

Connect `list_deliveries` and `get_capacity` to your monitoring agents. They can watch for package arrivals or overcrowding and trigger notifications. These agents run autonomously. They check the status of your office environment and act based on the data they receive.

Setup guide

Set up Envoy MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Envoy tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "envoy-mcp-client",
  servers: {
    "envoy-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Envoy Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Envoy tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Envoy transactions"
);
console.log(result.text);

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Common questions about Envoy MCP in Mastra AI

Register the server URL in your Mastra client configuration. Once added, you can spread the available tools into your agent definition.

Absolutely. You can enable requireToolApproval to ensure a human confirms every `reserve_desk` or `pre_register_visitor` call before it happens.

Yes, you can configure the agent to handle retries for Envoy tools. If the API returns a transient error, the framework attempts the call again.

You can. The agent uses `list_locations` to identify the correct office and then routes the subsequent tool calls to that specific ID.

Your visitor logs are handled through a secure, ephemeral connection. The server cleans up all temporary state, so no data persists after your agent workflow concludes.

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