Wazuh (SIEM) MCP Server for CrewAIGive CrewAI instant access to 21 tools to Create Agent, Create Security Role, Delete Agents, and more
GDPR Free for SubscribersConnect your CrewAI agents to Wazuh (SIEM) through Vinkius, pass the Edge URL in the `mcps` parameter and every Wazuh (SIEM) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
Ask AI about this MCP Server for CrewAI
The Wazuh (SIEM) MCP Server for CrewAI is a standout in the Fort Knox category — giving your AI agent 21 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminifrom crewai import Agent, Task, Crew
agent = Agent(
role="Wazuh (SIEM) Specialist",
goal="Help users interact with Wazuh (SIEM) effectively",
backstory=(
"You are an expert at leveraging Wazuh (SIEM) tools "
"for automation and data analysis."
),
# Your Vinkius token. get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in Wazuh (SIEM) "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 21 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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.
When paired with CrewAI, Wazuh (SIEM) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Wazuh (SIEM) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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 CrewAI 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 CrewAI
When CrewAI 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 agent on Wazuh (SIEM)
Enroll a new Wazuh agent
Create security role on Wazuh (SIEM)
Create a new Wazuh security role
Delete agents on Wazuh (SIEM)
Use WQL to specify which agents to delete. Remove Wazuh agents
Get logtest on Wazuh (SIEM)
Test rules and decoders against logs
Get manager logs on Wazuh (SIEM)
Retrieve Wazuh manager logs
Get manager status on Wazuh (SIEM)
Get Wazuh manager daemon status
Get mitre on Wazuh (SIEM)
Supports WQL filtering. Get MITRE ATT&CK results
Get rootcheck on Wazuh (SIEM)
Supports WQL filtering. Get Rootcheck results
Get sca on Wazuh (SIEM)
Supports WQL filtering. Get Security Configuration Assessment (SCA) results
Get syscheck on Wazuh (SIEM)
Supports WQL filtering. Get File Integrity Monitoring (Syscheck) results
Get syscollector on Wazuh (SIEM)
Supports WQL filtering. Get Syscollector inventory
List agents on Wazuh (SIEM)
Supports WQL filtering. List all Wazuh agents
List cluster nodes on Wazuh (SIEM)
List Wazuh cluster nodes
List decoders on Wazuh (SIEM)
Supports WQL filtering. List loaded Wazuh decoders
List rules on Wazuh (SIEM)
Supports WQL filtering. List loaded Wazuh rules
List security users on Wazuh (SIEM)
List Wazuh API users
Restart agents on Wazuh (SIEM)
Restart Wazuh agents
Restart cluster on Wazuh (SIEM)
Restart the Wazuh cluster
Update rule file on Wazuh (SIEM)
Update a Wazuh rule file
Update security config on Wazuh (SIEM)
Update Wazuh security configuration
Upgrade agents on Wazuh (SIEM)
Upgrade Wazuh agents
Connect Wazuh (SIEM) to CrewAI via MCP
Follow these steps to wire Wazuh (SIEM) into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install CrewAI
pip install crewaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comCustomize the agent
role, goal, and backstory to fit your use caseRun the crew
python crew.py. CrewAI auto-discovers 21 tools from Wazuh (SIEM)Why Use CrewAI with the Wazuh (SIEM) MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Wazuh (SIEM) through the Model Context Protocol.
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Wazuh (SIEM) + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Wazuh (SIEM) MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Wazuh (SIEM) for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries Wazuh (SIEM), analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Wazuh (SIEM) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries Wazuh (SIEM) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Example Prompts for Wazuh (SIEM) in CrewAI
Ready-to-use prompts you can give your CrewAI 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 CrewAI
Common issues when connecting Wazuh (SIEM) to CrewAI through Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Wazuh (SIEM) + CrewAI FAQ
Common questions about integrating Wazuh (SIEM) MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Explore More MCP Servers
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