Chargebee MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Cancel Subscription, Create Customer, Create Subscription, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Chargebee 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 App Connector for Vercel AI SDK
The Chargebee app connector for Vercel AI SDK is a standout in the Money Moves category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Chargebee, 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 Chargebee MCP Server
Connect your Chargebee site to any AI agent and take full control of your billing workflows through natural conversation.
The Vercel AI SDK gives every Chargebee 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
- Subscription Lifecycle — List active, trialing, or cancelled subscriptions and inspect their metadata
- Customer Management — Query profiles, billing info, and contact details for any customer in your database
- Invoicing & Payments — Track paid, pending, and overdue invoices to stay on top of your revenue
- Product Catalog — List available plans and addons to understand your current offerings
- Actionable Workflows — Create customers, start new subscriptions, or cancel existing ones programmatically
The Chargebee 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.
All 10 Chargebee tools available for Vercel AI SDK
When Vercel AI SDK connects to Chargebee through Vinkius, your AI agent gets direct access to every tool listed below — spanning recurring-billing, revenue-operations, subscription-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Cancel an existing subscription
Create a new customer profile
Create a new subscription for a customer
Get details for a specific customer
Get details for a specific subscription
List available product addons
List Chargebee customers
Can be filtered by status or customer. List Chargebee invoices
List available product plans
Supports filtering via optional parameters. List Chargebee subscriptions
Connect Chargebee to Vercel AI SDK via MCP
Follow these steps to wire Chargebee into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Chargebee MCP Server
Vercel AI SDK provides unique advantages when paired with Chargebee 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 Chargebee integration everywhere
Built-in streaming UI primitives let you display Chargebee 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
Chargebee + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Chargebee MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Chargebee in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Chargebee tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Chargebee capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Chargebee through natural language queries
Example Prompts for Chargebee in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Chargebee immediately.
"List all active subscriptions in Chargebee."
"Show me details for customer 'cust_789'."
"Find all overdue invoices."
Troubleshooting Chargebee MCP Server with Vercel AI SDK
Common issues when connecting Chargebee to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpChargebee + Vercel AI SDK FAQ
Common questions about integrating Chargebee 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.