Corpay One MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 7 tools to Create New Document, Get Document Details, Get Payment Details, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Corpay One 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 Corpay One app connector for Vercel AI SDK is a standout in the Money Moves category — giving your AI agent 7 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 Corpay One, 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 Corpay One MCP Server
Connect your Corpay One business payment account to any AI agent and simplify how you pay bills, manage vendor relationships, and monitor your financial documents through natural conversation.
The Vercel AI SDK gives every Corpay One tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 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
- Payment Oversight — List all processed and scheduled bill payments and retrieve detailed reconciliation metadata.
- Document Management — Query your catalog of scanned or uploaded invoices and receipts with full data extraction details.
- Vendor CRM — List all registered vendors and suppliers to manage your procurement network effectively.
- Financial Insights — Check the real-time status of individual payments and documents directly from the agent.
- Team Coordination — List account users and team members to understand organizational distribution.
- Workflow Automation — Upload new document metadata and initiate financial records via AI commands.
The Corpay One MCP Server exposes 7 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 7 Corpay One tools available for Vercel AI SDK
When Vercel AI SDK connects to Corpay One through Vinkius, your AI agent gets direct access to every tool listed below — spanning accounts-payable, bill-pay, invoice-management, 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.
Upload a new document
Get details for a specific document
Get details for a specific payment
List vendors/suppliers
List invoices and receipts
List Corpay One payments
List account users
Connect Corpay One to Vercel AI SDK via MCP
Follow these steps to wire Corpay One 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 Corpay One MCP Server
Vercel AI SDK provides unique advantages when paired with Corpay One 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 Corpay One integration everywhere
Built-in streaming UI primitives let you display Corpay One 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
Corpay One + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Corpay One MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Corpay One in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Corpay One tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Corpay One capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Corpay One through natural language queries
Example Prompts for Corpay One in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Corpay One immediately.
"List all my recent bill payments."
"Show me the details for invoice 'doc_88231'."
"List all vendors in my account."
Troubleshooting Corpay One MCP Server with Vercel AI SDK
Common issues when connecting Corpay One to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCorpay One + Vercel AI SDK FAQ
Common questions about integrating Corpay One 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.