Ezus MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Ezus through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
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 Ezus, 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 Ezus MCP Server
Connect your Ezus travel management account to any AI agent and take full control of your agency's workflows through natural conversation.
The Vercel AI SDK gives every Ezus tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Project Management — List, fetch, and upsert travel projects directly from the Ezus cloud
- Client & Supplier CRM — Query client details and manage your network of suppliers with ease
- Product Catalog — Access and inspect your travel products and packages stored in the Ezus catalog
- Financial Overview — List and inspect invoices to keep track of your agency's billing and financial status
- User Profiling — Retrieve the underlying credentials and profile information of your agent's API user
The Ezus MCP Server exposes 12 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 Ezus to Vercel AI SDK via MCP
Follow these steps to integrate the Ezus 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 12 tools from Ezus and passes them to the LLM
Why Use Vercel AI SDK with the Ezus MCP Server
Vercel AI SDK provides unique advantages when paired with Ezus 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 Ezus integration everywhere
Built-in streaming UI primitives let you display Ezus 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
Ezus + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Ezus MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Ezus in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Ezus tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Ezus capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Ezus through natural language queries
Ezus MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Ezus to Vercel AI SDK via MCP:
get_client
Get a specific Ezus client by ID
get_invoice
Get a specific Ezus invoice by ID
get_me
Get current Ezus user profile
get_product
Get a specific Ezus product by ID
get_project
Get a specific Ezus project by ID
get_supplier
Get a specific Ezus supplier by ID
list_clients
List all Ezus clients
list_invoices
List all Ezus invoices
list_products
List all Ezus products
list_projects
List all Ezus projects
list_suppliers
List all Ezus suppliers
upsert_project
Create or update an Ezus project
Example Prompts for Ezus in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Ezus immediately.
"List my recent travel projects on Ezus."
"Show me the details for client ID 12345."
"Get all products available in the catalog."
Troubleshooting Ezus MCP Server with Vercel AI SDK
Common issues when connecting Ezus to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpEzus + Vercel AI SDK FAQ
Common questions about integrating Ezus 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 Ezus 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 Ezus to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.