BrioHR MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect BrioHR through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="BrioHR Assistant",
instructions=(
"You help users interact with BrioHR. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from BrioHR"
)
print(result.final_output)
asyncio.run(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 BrioHR MCP Server
Connect your AI agents to BrioHR, the all-in-one HR software designed to simplify the management of your greatest asset: your people. This MCP provides 10 tools to automate HR data orchestration, from employee record synchronization and leave monitoring to claim report retrieval and recruitment oversight.
The OpenAI Agents SDK auto-discovers all 10 tools from BrioHR through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries BrioHR, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Employee Insights — Download main information for all employees and retrieve detailed individual profiles including roles and departments
- Time-Off Orchestration — Monitor who is away within specific date ranges and retrieve detailed leave requests for any employee
- Financial Integration — Access approved claim reports for external payroll/accounting syncing and monitor monthly payroll summaries
- Talent Acquisition — List active job postings and monitor candidates through the recruitment pipeline
- Performance & Org — Track performance appraisal cycles and inspect organizational department structures
The BrioHR MCP Server exposes 10 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 BrioHR to OpenAI Agents SDK via MCP
Follow these steps to integrate the BrioHR 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 10 tools from BrioHR
Why Use OpenAI Agents SDK with the BrioHR MCP Server
OpenAI Agents SDK provides unique advantages when paired with BrioHR 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
BrioHR + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the BrioHR MCP Server delivers measurable value.
Automated workflows: build agents that query BrioHR, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries BrioHR, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through BrioHR tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query BrioHR to resolve tickets, look up records, and update statuses without human intervention
BrioHR MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect BrioHR to OpenAI Agents SDK via MCP:
get_employee_details
Get detailed profile for a specific employee
get_payroll_summary
Get payroll overview for a specific month
get_who_is_away
List employees who are currently away or scheduled for leave
list_claim_reports
Retrieve approved claim reports for payroll integration
list_departments
List organizational departments
list_employees
Download the main information for all employees
list_job_candidates
List candidates for a specific job
list_job_postings
List active job openings in the recruitment module
list_leave_requests
Retrieve leave requests for an employee
list_performance_appraisals
List performance review cycles
Example Prompts for BrioHR in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with BrioHR immediately.
"Who is away in my company between 2024-05-01 and 2024-05-15?"
"List all active job postings in my BrioHR account."
"Show the payroll summary for January 2024."
Troubleshooting BrioHR MCP Server with OpenAI Agents SDK
Common issues when connecting BrioHR to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
BrioHR + OpenAI Agents SDK FAQ
Common questions about integrating BrioHR MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect BrioHR 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 BrioHR to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
