Invoiced MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Check Invoiced Status, Create Customer, Create Invoice, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Invoiced 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 Invoiced app connector for Vercel AI SDK is a standout in the Erp Operations category — giving your AI agent 10 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 Invoiced, 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 Invoiced MCP Server
Connect your Invoiced account to any AI agent and take full control of your accounts receivable orchestration and automated billing workflows through natural conversation.
The Vercel AI SDK gives every Invoiced 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
- Invoice Portfolio Orchestration — List and manage all issued invoices programmatically, retrieving detailed payment metadata and aging statuses
- Customer & Payment Intelligence — Programmatically retrieve directories of customers and access complete credit profiles and payment history in real-time
- A/R Workflow Architecture — Access your complete directory of payment plans and auto-pay settings to coordinate your organizational revenue
- Operational Monitoring — Access real-time status updates for paid invoices and track collection metrics directly through your agent for instant reporting
- Infrastructure Verification — Verify account-level API connectivity and monitor transaction volume directly through your agent for perfectly coordinated service scaling
The Invoiced 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.
All 10 Invoiced tools available for Vercel AI SDK
When Vercel AI SDK connects to Invoiced through Vinkius, your AI agent gets direct access to every tool listed below — spanning accounts-receivable, automated-billing, payment-reminders, 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.
Verify Invoiced API connectivity
Create a customer
Pass line items as JSON array with name, quantity, and unit_cost. Create an invoice
Get customer details
Get invoice details
List all credit notes
List all customers
List all estimates
List all invoices
List all payments
Connect Invoiced to Vercel AI SDK via MCP
Follow these steps to wire Invoiced 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 Invoiced MCP Server
Vercel AI SDK provides unique advantages when paired with Invoiced 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 Invoiced integration everywhere
Built-in streaming UI primitives let you display Invoiced 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
Invoiced + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Invoiced MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Invoiced in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Invoiced tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Invoiced capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Invoiced through natural language queries
Example Prompts for Invoiced in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Invoiced immediately.
"Show all unpaid invoices in my Invoiced account."
"Create an invoice for customer 5001 with 2 items."
"List all estimates waiting for approval."
Troubleshooting Invoiced MCP Server with Vercel AI SDK
Common issues when connecting Invoiced to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpInvoiced + Vercel AI SDK FAQ
Common questions about integrating Invoiced 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.