Recurly MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Create Billing Account, Get Account Details, Get Invoice, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Recurly 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 Recurly 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 Recurly, 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 Recurly MCP Server
Connect your Recurly account to any AI agent and simplify your subscription billing, revenue management, and customer orchestration through natural conversation.
The Vercel AI SDK gives every Recurly 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 expired product subscriptions, and retrieve detailed metadata and plan info
- Account Coordination — Query your database of billing accounts and retrieve detailed metadata, balance, and status
- Billing Tracking — Access a history of generated invoices and monitor their payment status directly from your agent
- Plan catalog — Query available subscription plans and their pricing to choose the right context for each interaction
- Direct Enrollment — Register new customer accounts programmatically directly from your agent
The Recurly 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 Recurly tools available for Vercel AI SDK
When Vercel AI SDK connects to Recurly through Vinkius, your AI agent gets direct access to every tool listed below — spanning subscriptions, billing, recurring-revenue, 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.
Register a new account
Get details for a specific account
Get details for a specific invoice
Get revenue export dates
Get details for a specific subscription
List billing accounts
List invoices
List all active coupons
List available plans
List Recurly subscriptions
List recent transactions
Connect Recurly to Vercel AI SDK via MCP
Follow these steps to wire Recurly 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 Recurly MCP Server
Vercel AI SDK provides unique advantages when paired with Recurly 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 Recurly integration everywhere
Built-in streaming UI primitives let you display Recurly 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
Recurly + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Recurly MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Recurly in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Recurly tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Recurly capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Recurly through natural language queries
Example Prompts for Recurly in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Recurly immediately.
"List all active subscriptions in Recurly."
"Show me the subscription revenue breakdown by plan for the current billing period."
"List all failed invoice payments from the last 14 days that need follow-up."
Troubleshooting Recurly MCP Server with Vercel AI SDK
Common issues when connecting Recurly to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpRecurly + Vercel AI SDK FAQ
Common questions about integrating Recurly 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.