Wazuh (SIEM) MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 21 tools to Create Agent, Create Security Role, Delete Agents, and more

Name: Wazuh (SIEM)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Wazuh (SIEM) MCP Server for OpenAI Agents SDK is a standout in the Fort Knox category — giving your AI agent 21 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients

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="Wazuh (SIEM) Assistant",
            instructions=(
                "You help users interact with Wazuh (SIEM). "
                "You have access to 21 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Wazuh (SIEM) MCP Server

Connect your Wazuh SIEM to any AI agent to streamline security operations and endpoint monitoring through natural language.

The OpenAI Agents SDK auto-discovers all 21 tools from Wazuh (SIEM) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Wazuh (SIEM), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Agent Management — List all enrolled agents, create new ones, and perform bulk actions like restarts or upgrades using WQL filtering.
Manager & Cluster Health — Monitor manager daemon status, fetch logs, and inspect cluster nodes to ensure high availability.
Security Auditing — Query File Integrity Monitoring (Syscheck), Security Configuration Assessment (SCA), and Rootcheck results.
Threat Intelligence — Access MITRE ATT&CK mappings and test log decoders to validate your detection pipeline.
Rule Orchestration — List and update rules or decoders directly to fine-tune your security posture.

The Wazuh (SIEM) MCP Server exposes 21 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 21 Wazuh (SIEM) tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Wazuh (SIEM) through Vinkius, your AI agent gets direct access to every tool listed below — spanning siem, threat-detection, vulnerability-management, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create agent on Wazuh (SIEM)

Enroll a new Wazuh agent

create

Create security role on Wazuh (SIEM)

Create a new Wazuh security role

delete

Delete agents on Wazuh (SIEM)

Use WQL to specify which agents to delete. Remove Wazuh agents

get

Get logtest on Wazuh (SIEM)

Test rules and decoders against logs

get

Get manager logs on Wazuh (SIEM)

Retrieve Wazuh manager logs

get

Get manager status on Wazuh (SIEM)

Get Wazuh manager daemon status

get

Get mitre on Wazuh (SIEM)

Supports WQL filtering. Get MITRE ATT&CK results

get

Get rootcheck on Wazuh (SIEM)

Supports WQL filtering. Get Rootcheck results

get

Get sca on Wazuh (SIEM)

Supports WQL filtering. Get Security Configuration Assessment (SCA) results

get

Get syscheck on Wazuh (SIEM)

Supports WQL filtering. Get File Integrity Monitoring (Syscheck) results

get

Get syscollector on Wazuh (SIEM)

Supports WQL filtering. Get Syscollector inventory

list

List agents on Wazuh (SIEM)

Supports WQL filtering. List all Wazuh agents

list

List cluster nodes on Wazuh (SIEM)

List Wazuh cluster nodes

list

List decoders on Wazuh (SIEM)

Supports WQL filtering. List loaded Wazuh decoders

list

List rules on Wazuh (SIEM)

Supports WQL filtering. List loaded Wazuh rules

list

List security users on Wazuh (SIEM)

List Wazuh API users

restart

Restart agents on Wazuh (SIEM)

Restart Wazuh agents

restart

Restart cluster on Wazuh (SIEM)

Restart the Wazuh cluster

update

Update rule file on Wazuh (SIEM)

Update a Wazuh rule file

update

Update security config on Wazuh (SIEM)

Update Wazuh security configuration

upgrade

Upgrade agents on Wazuh (SIEM)

Upgrade Wazuh agents

Connect Wazuh (SIEM) to OpenAI Agents SDK via MCP

Follow these steps to wire Wazuh (SIEM) into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 21 tools from Wazuh (SIEM)

Why Use OpenAI Agents SDK with the Wazuh (SIEM) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Wazuh (SIEM) 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

Wazuh (SIEM) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Wazuh (SIEM) MCP Server delivers measurable value.

Automated workflows: build agents that query Wazuh (SIEM), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Wazuh (SIEM), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Wazuh (SIEM) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Wazuh (SIEM) to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Wazuh (SIEM) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Wazuh (SIEM) immediately.

"List all Wazuh agents that are currently active."

"Show me the latest Security Configuration Assessment (SCA) results."

"Check the Wazuh manager logs for any recent errors."

Troubleshooting Wazuh (SIEM) MCP Server with OpenAI Agents SDK

Common issues when connecting Wazuh (SIEM) to OpenAI Agents SDK through 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.

Wazuh (SIEM) + OpenAI Agents SDK FAQ

Common questions about integrating Wazuh (SIEM) 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.