How to Use the Hudu MCP in OpenAI Agents SDK
Connect Hudu directly to your OpenAI Agents SDK production pipeline for real-time asset tracking and credential lookup.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Hudu MCP to OpenAI Agents SDK
Create your Vinkius account to connect Hudu to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Automated asset and network discovery
Your agents can pull live hardware and network data from Hudu without manual intervention. By calling `list_assets` and `list_networks`, the agent builds a current picture of your infrastructure. This data feeds directly into your agent's decision-making logic. It eliminates the lag between a physical change and your agent's knowledge of the environment.
Secure credential access for OpenAI Agents SDK
The MCP server exposes `list_passwords` to your agent, allowing for automated authentication flows. The agent grabs the necessary credentials only when a specific task requires them. Everything stays within your secure agent execution path. You get the speed of automation without hardcoding secrets into your scripts.
Knowledge base retrieval for agents
Agents use `list_articles` and `list_procedures` to find standard operating procedures instantly. Instead of digging through folders, the agent identifies the correct document for the task at hand. This turns your static documentation into an active resource. Your agent references verified company processes before taking any action.
Set up Hudu MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Hudu tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Hudu tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Hudu tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Hudu Agent",
instructions="You have access to Hudu tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Hudu. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Hudu MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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