Hurma MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Create Candidate, Create Leave Request, Export Overtimes, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Hurma through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The Hurma app connector for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="Hurma Assistant",
instructions=(
"You help users interact with Hurma. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Hurma"
)
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 Hurma MCP Server
Connect your Hurma instance to any AI agent and manage your HR operations through natural conversation.
The OpenAI Agents SDK auto-discovers all 12 tools from Hurma through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Hurma, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Recruiting Pipeline — List all candidates, inspect profiles, create new candidate records, and track hiring progress
- Employee Directory — Browse all employees with department and position details
- Time-Off Management — Monitor out-of-office schedules and leave requests
- Department Structure — Browse organizational departments
- Position Management — List all job positions
- Onboarding Tracking — Monitor new hire checklists and progress
The Hurma MCP Server exposes 12 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.
All 12 Hurma tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Hurma through Vinkius, your AI agent gets direct access to every tool listed below — spanning employee-directory, time-off-tracking, onboarding, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new candidate
Create a new leave or absence request
Export overtime data
Get details for a specific candidate
Get details for a specific employee
Get employee vacation balance
List recruitment candidates
List custom field definitions
List all company departments
List all employees
List employees currently out of office
List recruitment stages
Connect Hurma to OpenAI Agents SDK via MCP
Follow these steps to wire Hurma into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Hurma MCP Server
OpenAI Agents SDK provides unique advantages when paired with Hurma 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
Hurma + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Hurma MCP Server delivers measurable value.
Automated workflows: build agents that query Hurma, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Hurma, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Hurma tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Hurma to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Hurma in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Hurma immediately.
"Show all candidates in the pipeline and employees out of office this week."
"List all employees in Engineering and create a new candidate for Senior Backend."
"Show onboarding status for new hires and all departments."
Troubleshooting Hurma MCP Server with OpenAI Agents SDK
Common issues when connecting Hurma to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Hurma + OpenAI Agents SDK FAQ
Common questions about integrating Hurma 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.