Envoy MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Envoy through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Envoy, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Envoy MCP Server
Connect your Envoy workplace account to any AI agent and take full control of your office management and visitor registration through natural conversation.
The Vercel AI SDK gives every Envoy tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Visitor Orchestration — Register expected arrivals and deliver QR code invites seamlessly while mapping NDA tracking and security compliance natively
- Hot Desk Management — List all available desks and reserve physical workspace elements by committing exact timing payloads directly into the organizational map
- Meeting Room Control — Identify bookable rooms and spaces, calculating maximal volumetric tracking and reporting integration limits securely
- Logistical Tracking — Monitor incoming deliveries and package states, extracting pickup receipts and bypassing front desk barriers flawlessly
- Office Capacity Auditing — Measure real-time occupancy metrics and compute active relational loads to ensure workplace compliance bounding
- Employee Presence Monitoring — Analyze specific HR identity connections fetching log trails to validate physical office sign-ins across any date range
- Location Navigation — Iterate through global office locations and workspaces to parse precise geographic configurations and maximum capacity limits
The Envoy MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Envoy to Vercel AI SDK via MCP
Follow these steps to integrate the Envoy MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Envoy and passes them to the LLM
Why Use Vercel AI SDK with the Envoy MCP Server
Vercel AI SDK provides unique advantages when paired with Envoy through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Envoy integration everywhere
Built-in streaming UI primitives let you display Envoy tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Envoy + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Envoy MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Envoy in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Envoy tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Envoy capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Envoy through natural language queries
Envoy MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Envoy to Vercel AI SDK via MCP:
cancel_desk_reservation
Cancel an Envoy desk reservation
get_capacity
Get real-time capacity data for an Envoy location
get_employee_signins
Get employee sign-in data for an Envoy location
list_deliveries
List all deliveries at an Envoy location
list_desks
List all hot desks at an Envoy location
list_locations
List all office locations managed in Envoy
list_rooms
List all bookable rooms/spaces at an Envoy location
list_visitors
List all visitors checked in or expected at an Envoy location
pre_register_visitor
Pre-register a visitor in Envoy
reserve_desk
Reserve a hot desk in Envoy
Example Prompts for Envoy in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Envoy immediately.
"Pre-register guest 'Jane Doe' (jane@example.com) for tomorrow at 10 AM"
"Reserve desk 'D-101' at the 'Main Office' for next Friday"
"What is the current occupancy at the London office?"
Troubleshooting Envoy MCP Server with Vercel AI SDK
Common issues when connecting Envoy to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpEnvoy + Vercel AI SDK FAQ
Common questions about integrating Envoy MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Envoy with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Envoy to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.