BambooHR MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect BambooHR through the 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 BambooHR, 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 BambooHR MCP Server
Orchestrate your human resources operations with BambooHR, the leading platform for small and medium businesses. By connecting BambooHR to your AI agent, you transform complex people management into a natural conversation. Your agent can instantly search the employee directory, audit time off requests, identify who is out of the office today, and retrieve custom company reports without you ever navigating through dense HR menus. Whether you're a manager checking team availability or an HR admin updating records, your agent acts as a direct bridge to your people data, ensuring your organizational culture stays agile and informed.
The Vercel AI SDK gives every BambooHR tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Employee Directory — Search and list active employees, retrieving basic contact details and profile information through natural language.
- Time Off Management — Audit active time off requests, list employees currently out of the office, and submit new requests seamlessly.
- HR Auditing — Retrieve specific company reports and list available time off types or policies for your organization.
- Record Updates — Programmatically update basic employee information to ensure your HR records are always accurate.
- Availability Insights — Quickly identify team members who are out for specific date ranges to optimize project planning.
The BambooHR MCP Server exposes 12 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 BambooHR to Vercel AI SDK via MCP
Follow these steps to integrate the BambooHR 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 12 tools from BambooHR and passes them to the LLM
Why Use Vercel AI SDK with the BambooHR MCP Server
Vercel AI SDK provides unique advantages when paired with BambooHR 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 BambooHR integration everywhere
Built-in streaming UI primitives let you display BambooHR 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
BambooHR + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the BambooHR MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query BambooHR in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate BambooHR tools and return structured JSON responses to any frontend
Chatbots with tool use: embed BambooHR capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with BambooHR through natural language queries
BambooHR MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect BambooHR to Vercel AI SDK via MCP:
add_time_off_request
Submit a new time off request for an employee
get_account_check
Verify BambooHR connection
get_company_report
Get a specific company report by ID
get_employee_details
Get basic details for a specific employee
list_employees_directory
List active employees from the company directory
list_time_off_policies
List all defined time off policies
list_time_off_requests
List time off requests
list_time_off_types
List all defined time off types
list_whos_out
Helper to list who is out today
search_employee
Search for an employee by name in the directory
update_employee
Update employee information
whos_out
List employees who are out (time off) for a date range
Example Prompts for BambooHR in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with BambooHR immediately.
"Who is out of the office today?"
"Search for 'Sarah' in the employee directory."
"What are my available time off types?"
Troubleshooting BambooHR MCP Server with Vercel AI SDK
Common issues when connecting BambooHR to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBambooHR + Vercel AI SDK FAQ
Common questions about integrating BambooHR 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 BambooHR 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 BambooHR to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.