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Chargify MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Chargify through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 Chargify, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* 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 Chargify MCP Server

Connect your Chargify (Maxio) site to any AI agent and take absolute control of your SaaS revenue operations by simply chatting. Bypass massive spreadsheets, complex API docs, and tedious financial dashboards.

The Vercel AI SDK gives every Chargify 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

  • Customers — Query your B2B accounts, retrieve specific financial details, or formulate brand new CRM customer records instantly
  • Subscriptions — Inspect active and canceled states, trace billing cycles, past-due flags, or irreversibly cancel subscriptions documenting specific churn reasons
  • Planes & Upgrades — Browse your active product catalog and seamlessly upgrade or modify a customer's plan mid-cycle with a single command
  • Holds & Resumes — Place an absolute freeze/hold on a subscription forbidding next billing, and resume it seamlessly when ready

The Chargify 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 Chargify to Vercel AI SDK via MCP

Follow these steps to integrate the Chargify MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from Chargify and passes them to the LLM

Why Use Vercel AI SDK with the Chargify MCP Server

Vercel AI SDK provides unique advantages when paired with Chargify through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Chargify integration everywhere

03

Built-in streaming UI primitives let you display Chargify tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Chargify + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Chargify MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Chargify in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Chargify tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Chargify capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Chargify through natural language queries

Chargify MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Chargify to Vercel AI SDK via MCP:

01

cancel_subscription

Irreversibly vaporize explicit validations extracting rich Churn flags

02

create_customer

json` tracking exact Name and Email strings tied to the B2B engine. Provision a highly-available JSON Payload generating hard Customer bindings

03

get_customer_details

json` checking exactly what references exist per SaaS consumer. Perform structural extraction of properties driving active Account logic

04

get_subscription_details

json` tracking exact billing cycle, MRR, and past-due flags. Inspect deep internal arrays mitigating specific Plan Math

05

hold_subscription

json` clamping the subscription entirely forbidding next billing until cleared. Identify precise active arrays spanning native Pause tracking

06

list_catalog_products

json` grabbing precisely the valid handles needed to trigger a plan switch. Retrieve the exact structural matching verifying Product mapping

07

list_customers

json` mapping exact user email arrays inside a Chargify site. Identify bounded CRM records inside the Headless Chargify/Maxio Platform

08

list_subscriptions

json` dropping exact state strings resolving whether active or canceled. Retrieve explicit Cloud logging tracing explicit Recurring limits

09

resume_subscription

json` ripping a Hold state unlocking MRR engine immediately. Dispatch an automated validation check routing explicit Resume logic

10

update_subscription_product

Identify precise active arrays spanning native Plan tracking/Upgrades

Example Prompts for Chargify in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Chargify immediately.

01

"We promised Acme Corp a grace period. Put a hold on subscription 4040 immediately."

02

"List our product catalog. I need to know the IDs to upgrade an account."

03

"Customer sub_899 just requested cancellation via email. Reason: 'budget cuts'. Please process it."

Troubleshooting Chargify MCP Server with Vercel AI SDK

Common issues when connecting Chargify to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Chargify + Vercel AI SDK FAQ

Common questions about integrating Chargify MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Chargify to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.