How to Use the Wazuh (SIEM) MCP in OpenAI Agents SDK
Monitor your entire infrastructure using the OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Wazuh (SIEM) MCP to OpenAI Agents SDK
Create your Vinkius account to connect Wazuh (SIEM) 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.
Manage Wazuh Agents and Nodes via MCP Server
Need to onboard new systems? Use `create_agent` to enroll a fresh agent into the cluster. You can also manage existing endpoints with `delete_agents`, specifying agents using WQL filters. Furthermore, keep your deployment current by running `upgrade_agents` or restarting services directly via `restart_cluster`. Your AI client handles this interaction safely.
Test Threat Detection Rules
Before deploying new rules, you gotta test them. Run `get_logtest` to check if your decoders and rules properly interpret incoming logs. You can also verify system integrity using specialized checks like `get_mitre`, which supports WQL filtering. This helps validate detections against known threat patterns without risking a live false positive.
Audit Security Configuration
Inspect the health of your entire SIEM stack. Call `get_manager_status` to check if the manager daemon is running smoothly, or retrieve detailed logs using `get_manager_logs`. For a full picture, you can list all available agents with `list_agents`. These tools give your agent visibility into core operational metrics.
Set up Wazuh (SIEM) 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 Wazuh (SIEM) tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Wazuh (SIEM) tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Wazuh (SIEM) 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="Wazuh (SIEM) Agent",
instructions="You have access to Wazuh (SIEM) 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 Wazuh. 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 Wazuh (SIEM) MCP in OpenAI Agents SDK
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