Spendesk MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Spendesk through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 Spendesk, 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 Spendesk MCP Server
Bring your Spendesk financial operations natively into your AI workspace. Eliminate constant tab switching to check the finance dashboard. You can now use conversational prompts to audit real-time company expenses, verify specific payment IDs, and inspect active supplier invoices while writing your integration code or managing operational scripts.
The Vercel AI SDK gives every Spendesk tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 tools through the 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
- Track Cash Flow — Monitor organizational outflows by executing
list_payments. Need deep details on a specific transaction? Pull exactly what happened usingget_payment_details - Audit Invoices & Expenses — Keep track of pending vendor bills via
list_invoicesand review employee out-of-pocket reimbursements triggeringlist_expense_claims - Supplier Management — Check your registered vendor matrix using
list_suppliersand pull contact or payment history directly callingget_supplier_details - Control Limits — Actively supervise remaining budget allocations calling
list_budgetsand watch the assigned corporate limits on issued plastic/virtual vialist_cards
The Spendesk MCP Server exposes 9 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.
How to Connect Spendesk to Vercel AI SDK via MCP
Follow these steps to integrate the Spendesk MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 9 tools from Spendesk and passes them to the LLM
Why Use Vercel AI SDK with the Spendesk MCP Server
Vercel AI SDK provides unique advantages when paired with Spendesk 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 Spendesk integration everywhere
Built-in streaming UI primitives let you display Spendesk 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
Spendesk + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Spendesk MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Spendesk in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Spendesk tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Spendesk capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Spendesk through natural language queries
Spendesk MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect Spendesk to Vercel AI SDK via MCP:
get_payment_details
Get detailed information about a specific payment
get_supplier_details
Get detailed information about a specific supplier
list_budgets
List all budgets and their spending status
list_cards
List all virtual and physical cards issued
list_expense_claims
List all employee expense claims and reimbursement requests
list_invoices
List all invoices pending or processed
list_members
List all team members with Spendesk access
list_payments
List all payments in the Spendesk account
list_suppliers
List all registered suppliers
Example Prompts for Spendesk in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Spendesk immediately.
"Review Spendesk and show me all recent payments hitting our account."
"Bring a quick summary containing our currently monitored budgets to check for remaining allocated thresholds."
"Let's check our member list in Spendesk to see who holds what permission roles currently."
Troubleshooting Spendesk MCP Server with Vercel AI SDK
Common issues when connecting Spendesk to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSpendesk + Vercel AI SDK FAQ
Common questions about integrating Spendesk 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.Connect Spendesk with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Spendesk to Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.