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Vinkius

Swan MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Swan through the 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 Swan, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Swan
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 Swan MCP Server

The Swan MCP Server embeds a complete European Banking-as-a-Service architecture into Vinkius LLMs.

The Vercel AI SDK gives every Swan 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

  • Automated Root Provisioning — Instantly spin up local branch operations allocating FRA or ESP IBAN formats through swan_create_account.
  • Card Administration — Ask the agent to generate custom virtual Mastercards assigned exclusively to distinct contractors utilizing swan_add_virtual_card.
  • Direct SEPA Execution — Move exact funds safely parsing external creditor data natively through swan_create_sepa_transfer directly across European networks.

The Swan 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 Swan to Vercel AI SDK via MCP

Follow these steps to integrate the Swan 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 9 tools from Swan and passes them to the LLM

Why Use Vercel AI SDK with the Swan MCP Server

Vercel AI SDK provides unique advantages when paired with Swan 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 Swan integration everywhere

03

Built-in streaming UI primitives let you display Swan 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

Swan + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Swan MCP Tools for Vercel AI SDK (9)

These 9 tools become available when you connect Swan to Vercel AI SDK via MCP:

01

swan_add_virtual_card

Provisions a robust Mastercard Virtual Debit

02

swan_cancel_card

Permanently cancel a specific corporate card

03

swan_create_account

Requires an existing AccountHolderId. Dynamically provision a European Account under your ledger

04

swan_create_sepa_transfer

Initiate a standard European SEPA Credit Transfer

05

swan_get_accounts

List all operational Swan Bank Accounts/IBANs

06

swan_get_project_info

Fetch overarching details about your connected Swan Project Node

07

swan_get_transactions

Retrieve the ledger history for a specific Account

08

swan_list_cards

List all physical and virtual cards

09

swan_simulate_incoming_transfer

Sandbox Only - Inject fake money

Example Prompts for Swan in Vercel AI SDK

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

01

"Retrieve my core project identifier and map the legal entity ID."

02

"Launch a brand new sub-account in France. Bind it to the root entity targeting EUR processing."

03

"Sweep the ledger of Account X123 and list the latest 5 transactions."

Troubleshooting Swan MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Swan + Vercel AI SDK FAQ

Common questions about integrating Swan 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 Swan to Vercel AI SDK

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.