Mercury MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 8 tools to Get Account, Get Balance, List Accounts, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Mercury 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 Mercury app connector for Vercel AI SDK is a standout in the Money Moves category — giving your AI agent 8 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 Mercury, 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 Mercury MCP Server
Connect your Mercury banking account to any AI agent and manage startup finances through natural conversation.
The Vercel AI SDK gives every Mercury tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- Account Management — Access balances across all checking and savings accounts
- Transactions — Browse and filter recent transactions and transfers
- Statements — Retrieve monthly account statements
- Cash Flow — Track incoming revenue and outgoing expenses
- Recipient Management — Access saved wire and ACH recipients
The Mercury MCP Server exposes 8 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 8 Mercury tools available for Vercel AI SDK
When Vercel AI SDK connects to Mercury through Vinkius, your AI agent gets direct access to every tool listed below — spanning business-banking, financial-automation, transaction-reconciliation, 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.
Get details for a specific Mercury account
Get account balance
List Mercury bank accounts
List Mercury debit cards
List invoicing customers
List account receivable invoices
List payment recipients
List transactions for an account
Connect Mercury to Vercel AI SDK via MCP
Follow these steps to wire Mercury 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 Mercury MCP Server
Vercel AI SDK provides unique advantages when paired with Mercury 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 Mercury integration everywhere
Built-in streaming UI primitives let you display Mercury 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
Mercury + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Mercury MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Mercury in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Mercury tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Mercury capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Mercury through natural language queries
Example Prompts for Mercury in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Mercury immediately.
"Show my current balances for all accounts."
"List all outgoing transactions over $1,000 from last week."
"Get total revenue received this month."
Troubleshooting Mercury MCP Server with Vercel AI SDK
Common issues when connecting Mercury to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMercury + Vercel AI SDK FAQ
Common questions about integrating Mercury 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.