Recharge MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Cancel Subscription, Get Customer, Get Order, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Recharge 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 Recharge app connector for Vercel AI SDK is a standout in the Money Moves category — giving your AI agent 11 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 Recharge, 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 Recharge MCP Server
Connect your Recharge account to any AI agent and simplify your subscription management and recurring billing workflows through natural conversation.
The Vercel AI SDK gives every Recharge tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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 Management — List all active and cancelled subscriptions, retrieve detailed metadata, and update parameters programmatically
- Customer Database — Query your database of subscribers and retrieve detailed profile and billing info
- Order Tracking — Monitor processed subscription orders and stay on top of your fulfillment pipeline
- Financial Insights — Access processed charges and billing history to understand your recurring revenue
- Direct Control — Modify subscription quantities and scheduled charge dates without manual dashboard navigation
The Recharge MCP Server exposes 11 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 11 Recharge tools available for Vercel AI SDK
When Vercel AI SDK connects to Recharge through Vinkius, your AI agent gets direct access to every tool listed below — spanning subscriptions, recurring-billing, shopify-subscriptions, 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 a subscription
Get details for a specific customer
Get details for a specific order
Get details for a specific subscription
List billing charges
List Recharge customers
List all subscription products
List customer addresses
List processed orders
List Recharge subscriptions
Update an existing subscription
Connect Recharge to Vercel AI SDK via MCP
Follow these steps to wire Recharge 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 Recharge MCP Server
Vercel AI SDK provides unique advantages when paired with Recharge 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 Recharge integration everywhere
Built-in streaming UI primitives let you display Recharge 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
Recharge + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Recharge MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Recharge in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Recharge tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Recharge capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Recharge through natural language queries
Example Prompts for Recharge in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Recharge immediately.
"List all active subscriptions in Recharge."
"Show me all active subscriptions that are due for renewal in the next 7 days."
"Show me the churn analysis for the last 30 days with cancellation reasons."
Troubleshooting Recharge MCP Server with Vercel AI SDK
Common issues when connecting Recharge to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpRecharge + Vercel AI SDK FAQ
Common questions about integrating Recharge 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.