Argyle MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Argyle through 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 Argyle, 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 Argyle MCP Server
The Argyle MCP Server brings automated employment and income verification directly to your AI agent. Seamlessly manage your user verification workflows, retrieve detailed employment history, and monitor income totals using simple natural language.
The Vercel AI SDK gives every Argyle 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.
Key Capabilities
- User Management — List all users in your Argyle account and create new unique user IDs for verification flows.
- Employment Verification — Retrieve verified employment status, hire dates, job titles, and employer details from the source.
- Income Analysis — Access detailed income totals and breakdown, including YTD, monthly, and per-pay-period data.
- Payout Tracking — List individual pay period details (payouts) to understand gross/net pay and deductions.
- Verified Identities — Retrieve verified name, address, and contact information directly from payroll sources.
- Secure Data Access — Uses secure API keys and supports sandbox mode for safe testing and production usage.
The Argyle 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 Argyle to Vercel AI SDK via MCP
Follow these steps to integrate the Argyle 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 7 tools from Argyle and passes them to the LLM
Why Use Vercel AI SDK with the Argyle MCP Server
Vercel AI SDK provides unique advantages when paired with Argyle 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 Argyle integration everywhere
Built-in streaming UI primitives let you display Argyle 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
Argyle + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Argyle MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Argyle in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Argyle tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Argyle capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Argyle through natural language queries
Argyle MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect Argyle to Vercel AI SDK via MCP:
create_user
Create a new user in Argyle
get_account_check
Verify Argyle account connection
get_employment
Retrieve employment history for a specific user
get_income
Retrieve income totals and breakdown for a user
list_identities
Retrieve verified identity information for a user
list_payouts
List individual pay period details (payouts) for a user
list_users
List all users created in your Argyle account
Example Prompts for Argyle in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Argyle immediately.
"List all users in my Argyle account."
"Show me the employment history for user 'user_12345'."
"What is the total YTD income for user 'user_abc'?"
Troubleshooting Argyle MCP Server with Vercel AI SDK
Common issues when connecting Argyle to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpArgyle + Vercel AI SDK FAQ
Common questions about integrating Argyle 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 Argyle 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 Argyle to Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.