How to Use the Wazuh (SIEM) MCP in AutoGen

Drive consensus on Wazuh (SIEM) decisions using AutoGen multi-agent debate.

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Connect Wazuh (SIEM) MCP to AutoGen

Create your Vinkius account to connect Wazuh (SIEM) to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Wazuh (SIEM) with AutoGen

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Perplexity

Debating Agent Deployment Strategy

Set up a debate where one agent reviews the list of all agents using `list_agents`. A second agent then uses `create_agent` to propose deployment steps. The third challenges both on resource constraints, leading to a consensus plan. AutoGen forces these competing perspectives to negotiate the final action.

Automated Incident Response Simulation

Simulate an incident by having one agent run `get_logtest` against suspicious logs. A second agent then reviews the result and suggests a fix, maybe using `update_rule_file`. The third verifies if the rule update is necessary or overreaching. This cycle models complex decision-making processes.

Coordinated System Upgrade Planning

Multiple agents work together to upgrade components. One agent checks current status with `get_manager_status`. A second plans the rollout using `upgrade_agents`, while a third recommends a rollback plan based on historical data from the MCP Server. The result is a consensus-driven, risk-assessed deployment strategy.

Setup guide

Set up Wazuh (SIEM) MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Wazuh (SIEM) tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Wazuh (SIEM)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Wazuh (SIEM) data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Wazuh (SIEM)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Wazuh (SIEM) data")
    print(result.messages[-1].content)

Get your connection token →

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.

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Common questions about Wazuh (SIEM) MCP in AutoGen

It moves beyond simple automation. Instead of executing one command, multiple agents debate the best sequence of commands—like when to use `restart_cluster` versus just updating a config file.

Yes. You can set up agents to debate the necessity and scope of new user accounts by running the `create_security_role` tool, requiring multiple confirmations before execution.

Absolutely. Since it's built on multi-agent conversation, you can design a workflow where one agent collects data (`get_syscollector`), another analyzes it, and the third proposes an action based on that analysis.

The framework passes tool schemas to specialized agents. Agents then write code or natural language calls to invoke these tools, ensuring every interaction is defined and traceable.

This MCP Server touches configuration settings and agent status. The debate process requires the agents to discuss potentially sensitive structural details like user accounts (`list_security_users`) or cluster node names.

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