GoCardless MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Collect Payment, Create New Customer, Get Customer Details, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect GoCardless 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 GoCardless app connector for Vercel AI SDK is a standout in the Money Moves category — giving your AI agent 12 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 GoCardless, 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 GoCardless MCP Server
Connect your GoCardless account to any AI agent and take full control of your Direct Debit collections and recurring billing workflows through natural conversation.
The Vercel AI SDK gives every GoCardless tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Customer Orchestration — List and manage bank payers programmatically, including contact info and payment history retrieval
- Mandate Management — Monitor and retrieve detailed status for customer payment authorizations to ensure collection reliability
- Payment Automation — Trigger one-off bank debit collections or manage complex recurring subscription plans directly through your agent
- Financial Visibility — Access payout creditor details and monitor system events to maintain high-fidelity oversight of your cash flow
- Operations Control — Programmatically cancel pending payments and check individual transaction states (confirmed, failed) in real-time
The GoCardless MCP Server exposes 12 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 12 GoCardless tools available for Vercel AI SDK
When Vercel AI SDK connects to GoCardless through Vinkius, your AI agent gets direct access to every tool listed below — spanning direct-debit, recurring-payments, bank-transfers, 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.
Trigger new payment
Add payer to account
Get payer info
Get authorization info
Check transaction state
List payout recipients
List payment authorizations
List bank payers
List all transactions
List all subscriptions
Get activity log
Cancel payment
Connect GoCardless to Vercel AI SDK via MCP
Follow these steps to wire GoCardless 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 GoCardless MCP Server
Vercel AI SDK provides unique advantages when paired with GoCardless 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 GoCardless integration everywhere
Built-in streaming UI primitives let you display GoCardless 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
GoCardless + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the GoCardless MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query GoCardless in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate GoCardless tools and return structured JSON responses to any frontend
Chatbots with tool use: embed GoCardless capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with GoCardless through natural language queries
Example Prompts for GoCardless in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with GoCardless immediately.
"List my last 5 GoCardless customers with their email addresses."
"Collect 25.00 EUR from mandate 'MD_123' for 'Monthly Fee'."
"Check the status of payment ID 'PM_987'."
Troubleshooting GoCardless MCP Server with Vercel AI SDK
Common issues when connecting GoCardless to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGoCardless + Vercel AI SDK FAQ
Common questions about integrating GoCardless 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.