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How to Use the Chargify MCP in Vercel AI SDK

Feed real-time subscription states and customer billing updates directly into your React frontend using this MCP Server with Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Chargify MCP to Vercel AI SDK

Create your Vinkius account to connect Chargify 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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Live billing updates via Vercel AI SDK

Using `hold_subscription`, your agent can pause an account and stream the status changes straight to the UI in real-time. This bypasses the lag of traditional polling mechanisms entirely. The agent checks the billing cycle and past-due flags with `get_subscription_details` to show exactly what is happening. Your frontend renders the live state as the data drops, making billing changes feel instant.

Direct customer creation without backend lag

By calling `create_customer`, your agent registers new profiles on the fly with their exact name and email. This removes the friction of manual multi-step onboarding forms. To verify the setup, the agent runs `get_customer_details` to check SaaS consumer references. Edge-compatible functions ensure your users get a fast, responsive interface during signup.

Run live plan switches in the chat window

Your agent uses `list_catalog_products` to pull valid product handles and display plan options directly in the stream. This keeps the user focused on the checkout experience. Once the user selects their option, the agent fires `update_subscription_product` to handle the transition. No page refreshes are required, keeping the entire interaction contained in a single session.

Setup guide

Set up Chargify 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. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Chargify tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 Chargify transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Chargify. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Chargify MCP in Vercel AI SDK

Install the packages using npm, then initialize the MCP client with `createMCPClient` pointing to your Vinkius endpoint. Pass the tools directly into `streamText` or `generateText` to let your agent manage subscriptions. Remember to call `mcpClient.close()` once the execution completes.
Yes, your agent can call `hold_subscription` to freeze an account and `resume_subscription` to reactivate the billing engine. The tool outputs stream directly to your frontend, giving users immediate visual feedback.
You don't need to write boilerplate API endpoints. This MCP Server exposes tools like `list_subscriptions` and `cancel_subscription` directly to your Vercel AI SDK agent, bypassing the need for manual controller code.
The agent runs `list_customers` to match the user's email array inside your site. After finding a match, it calls `get_customer_details` to verify active billing records before executing any plan modifications.
Your subscription details and customer names are never stored on external servers. Vinkius runs the integration inside an ephemeral sandbox, securing your credentials and discarding session data immediately after execution.

Start using the Chargify MCP today

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Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Chargify. Just plug in your AI agents and start using Vinkius.

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