Can I use the agent to mass download confidential employee payroll details?

The integration specifically blocks massive blind dumps to protect PII. You can fetch specific employees individually, maintaining the security boundary of analytical lookups versus mass-extraction vectors.

How do I filter vacations strictly for one employee?

Just write a natural query. The AI knows to fetch the employee's ID first using `get_employee` or `list_employees`, and then invokes `list_vacations` passing that precise `employeeId` parameter in sequence.

What format is the Buk Domain parameter expected as?

If your company logs into `https://techcorp.buk.cl`, your Buk Domain is simply `techcorp`. The engine appends the `.buk.cl` suffix and proper API structures internally.

Buk MCP Server for OpenAI Agents SDK 14 tools — connect in under 2 minutes

Name: Buk
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 14 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Buk through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Buk Assistant",
            instructions=(
                "You help users interact with Buk. "
                "You have access to 14 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Buk"
        )
        print(result.final_output)

asyncio.run(main())

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* 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 OpenAI Agents SDK auto-discovers all 14 tools from Buk through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Buk, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Buk MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 14 tools from Buk

Why Use OpenAI Agents SDK with the Buk MCP Server

OpenAI Agents SDK provides unique advantages when paired with Buk through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Buk + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Buk MCP Server delivers measurable value.

Automated workflows: build agents that query Buk, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Buk, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Buk tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Buk to resolve tickets, look up records, and update statuses without human intervention

Buk MCP Tools for OpenAI Agents SDK (14)

These 14 tools become available when you connect Buk to OpenAI Agents 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

Common issues when connecting Buk to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Buk + OpenAI Agents SDK FAQ

Common questions about integrating Buk MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.