Buk MCP Server for Vercel AI SDK 14 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Buk 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 Buk, 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 Buk MCP Server
Connect your Buk organizational environment to any AI agent and oversee your Latin American HR operations seamlessly through natural conversation.
The Vercel AI SDK gives every Buk tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 14 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
- Talent Discovery — Query your entire employee database, extracting current operational roles, internal IDs, and hierarchical positions.
- Absence & Vacations — Read the historic and upcoming scheduled time loops (vacations/leaves) to perfectly orchestrate team capacity via the bot.
- Organizational Architecture — Extract detailed internal departments (Cost Centers) and cross-reference them to build structural overviews.
- Job Catalogs — Verify the registered taxonomy of job positions available inside your corporative setup.
The Buk MCP Server exposes 14 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 Buk to Vercel AI SDK via MCP
Follow these steps to integrate the Buk 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 14 tools from Buk and passes them to the LLM
Why Use Vercel AI SDK with the Buk MCP Server
Vercel AI SDK provides unique advantages when paired with Buk 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 Buk integration everywhere
Built-in streaming UI primitives let you display Buk 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
Buk + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Buk MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Buk in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Buk tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Buk capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Buk through natural language queries
Buk MCP Tools for Vercel AI SDK (14)
These 14 tools become available when you connect Buk to Vercel AI SDK via MCP:
approve_leave
Authorize pending leaves
create_employee
Onboard a new employee to system
delete_employee
Offboard an employee identity
get_attendance
Fetch daily attendance matrix
get_company_stats
Get company HR aggregate stats
get_department
Get department details
get_employee
Get complete details of a specific talent
get_payroll
Get employee payroll snapshot
list_benefits
View available corporate extras
list_departments
List all organizational departments (cost centers)
list_employees
List all employees inside the Buk platform
list_jobs
List standard job roles
list_leaves
List absence leaves
list_vacations
List scheduled vacations
Example Prompts for Buk in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Buk immediately.
"Fetch the organizational structure and show me our standard list of Departments."
"Can you check the current scheduled vacations for the employee named Fernando Silva?"
"Pull a high priority company overview from our Buk metrics."
Troubleshooting Buk MCP Server with Vercel AI SDK
Common issues when connecting Buk to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBuk + Vercel AI SDK FAQ
Common questions about integrating Buk 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 Buk 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 Buk to Vercel AI SDK
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.