Deputy MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Deputy 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 Deputy, 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 Deputy MCP Server
Integrate Deputy, the ultimate workforce management solution, directly into your AI workflow. Manage your employee directory, monitor real-time shift rosters, track submitted timesheets, and handle leave requests using natural language.
The Vercel AI SDK gives every Deputy tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Workforce Visibility — List and retrieve detailed profiles for all employees in your Deputy organization.
- Roster Monitoring — Track current and upcoming shift rosters to ensure proper coverage across locations.
- Timesheet Tracking — Review submitted timesheets, including actual start and end times and approval statuses.
- Leave Management — List and monitor employee leave and time-off requests pending approval.
The Deputy MCP Server exposes 10 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 Deputy to Vercel AI SDK via MCP
Follow these steps to integrate the Deputy 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 10 tools from Deputy and passes them to the LLM
Why Use Vercel AI SDK with the Deputy MCP Server
Vercel AI SDK provides unique advantages when paired with Deputy 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 Deputy integration everywhere
Built-in streaming UI primitives let you display Deputy 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
Deputy + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Deputy MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Deputy in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Deputy tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Deputy capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Deputy through natural language queries
Deputy MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Deputy to Vercel AI SDK via MCP:
get_authenticated_user
Retrieve metadata for the current authenticated API user
get_employee_profile
Get detailed information for a specific employee
list_active_rosters
List all current and upcoming shift rosters
list_business_locations
List all physical business locations (companies) configured in Deputy
list_completed_timesheets
List timesheets submitted by employees
list_currently_active_shifts
Identify employees who are currently clocked in (mock logic)
list_leave_requests
List all employee leave and time-off requests
list_pending_leave_approvals
List only the leave requests that are awaiting manager approval
list_workforce_employees
List all employees in your Deputy organization
search_employees_by_name
Search for an employee by their display name
Example Prompts for Deputy in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Deputy immediately.
"List all employees currently clocked in."
"Show me the roster for the 'Downtown Kitchen' location tomorrow."
"Are there any pending leave requests?"
Troubleshooting Deputy MCP Server with Vercel AI SDK
Common issues when connecting Deputy to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDeputy + Vercel AI SDK FAQ
Common questions about integrating Deputy 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 Deputy 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 Deputy to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.