Finch MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Finch 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 Finch, 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 Finch MCP Server
Finch is the unified API for HRIS and payroll. This MCP server allows your AI agent to interact with various HR and payroll providers through a single integration flawlessly.
The Vercel AI SDK gives every Finch tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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 Features
- Directory Orchestration — List all employees in the connected organization and fetch detailed profiles natively.
- Employment Intelligence — Retrieve granular employment data including job titles, departments, and compensation flawlessly.
- Payroll Transparency — Access pay groups and individual pay statements to monitor payroll data synchronously.
- Connection Introspection — Check the status, provider, and authorized permissions for any connection flawlessly native.
- Automated Job Tracking — Monitor data sync jobs to ensure your HRIS data is always up to date flawlessly through the agent.
- Provider Discovery — List all supported HRIS and payroll providers to verify integration compatibility flawlessly.
The Finch MCP Server exposes 11 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 Finch to Vercel AI SDK via MCP
Follow these steps to integrate the Finch 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 11 tools from Finch and passes them to the LLM
Why Use Vercel AI SDK with the Finch MCP Server
Vercel AI SDK provides unique advantages when paired with Finch 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 Finch integration everywhere
Built-in streaming UI primitives let you display Finch 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
Finch + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Finch MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Finch in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Finch tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Finch capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Finch through natural language queries
Finch MCP Tools for Vercel AI SDK (11)
These 11 tools become available when you connect Finch to Vercel AI SDK via MCP:
get_automated_job
Get details for a specific automated job
get_company
Get organization data (legal name, EIN, primary address)
get_employment
Get employment data for an individual (title, salary, department, etc.)
get_individual
Get personal data for an individual (name, email, SSN, etc.)
get_me
Get details for the authorized application/user connection
introspect
Check the status and permissions of the current connection
list_automated_jobs
List automated data sync jobs
list_directory
Read the employee directory for the connected organization
list_pay_groups
List pay groups for the organization
list_pay_statements
List pay statements for a specific payment ID
list_supported_providers
List all HRIS/Payroll providers supported by Finch
Example Prompts for Finch in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Finch immediately.
"List all employees in the directory."
"Check the status of my connection to Gusto."
"List pay statements for payment ID pmt_123."
Troubleshooting Finch MCP Server with Vercel AI SDK
Common issues when connecting Finch to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFinch + Vercel AI SDK FAQ
Common questions about integrating Finch 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 Finch 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 Finch to Vercel AI SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.