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PayFit MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes

Built by Vinkius GDPR 7 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect PayFit through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 PayFit, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
PayFit
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 PayFit MCP Server

Bring PayFit Global Payroll into your automated AI workflows natively. Providing a strict programmatic bridge to your company's HR and accounting infrastructure, this agent dynamically maps active employees, monitors valid compliance contracts, securely extracts monthly payslip distributions, and generates valid accounting entries directly via chat.

The Vercel AI SDK gives every PayFit 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

  • Company Overview — Identify exact corporate metadata determining mapping addresses, strict payroll limits, and department structures implicitly
  • Collaborator Navigation — Locate specific team boundaries, retrieving exactly which individual holds which contract running securely across active modules
  • Payslip Operations — Identify discrete payslip runs fetching securely masked data tracking payroll compliance outputs
  • Ledger Generation — Execute direct extractions generating valid mapping endpoints matching automated accounting metrics and financial records

The PayFit 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.

How to Connect PayFit to Vercel AI SDK via MCP

Follow these steps to integrate the PayFit MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 7 tools from PayFit and passes them to the LLM

Why Use Vercel AI SDK with the PayFit MCP Server

Vercel AI SDK provides unique advantages when paired with PayFit through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same PayFit integration everywhere

03

Built-in streaming UI primitives let you display PayFit tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

PayFit + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the PayFit MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query PayFit in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate PayFit tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed PayFit capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with PayFit through natural language queries

PayFit MCP Tools for Vercel AI SDK (7)

These 7 tools become available when you connect PayFit to Vercel AI SDK via MCP:

01

get_accounting_entries

Get accounting entries for a specific payroll period (YYYYMM format)

02

get_collaborator_details

Get detailed information about a specific collaborator

03

get_company

Get overview information about the PayFit company account

04

list_collaborators

List all collaborators (employees) in the company

05

list_contracts

List all employment contracts in the company

06

list_departments

List all departments in the company

07

list_payslips

List all payslips for a specific collaborator

Example Prompts for PayFit in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with PayFit immediately.

01

"Fetch the metadata configuration belonging to our main running PayFit company entity."

02

"Scan our active architecture fetching a strict list of all collaborators and contracts."

03

"Retrieve global accounting transactions executed during March."

Troubleshooting PayFit MCP Server with Vercel AI SDK

Common issues when connecting PayFit to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

PayFit + Vercel AI SDK FAQ

Common questions about integrating PayFit MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect PayFit to Vercel AI SDK

Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.