Wazuh (SIEM) MCP Server for LlamaIndexGive LlamaIndex 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

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Wazuh (SIEM) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Wazuh (SIEM). "
            "You have 21 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Wazuh (SIEM)?"
    )
    print(response)

asyncio.run(main())

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* 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.

LlamaIndex agents combine Wazuh (SIEM) tool responses with indexed documents for comprehensive, grounded answers. Connect 21 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 21 tools from Wazuh (SIEM)

Why Use LlamaIndex with the Wazuh (SIEM) MCP Server

LlamaIndex provides unique advantages when paired with Wazuh (SIEM) through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Wazuh (SIEM) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Wazuh (SIEM) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Wazuh (SIEM), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Wazuh (SIEM) tools were called, what data was returned, and how it influenced the final answer

Wazuh (SIEM) + LlamaIndex Use Cases

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

Hybrid search: combine Wazuh (SIEM) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Wazuh (SIEM) to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Wazuh (SIEM) for fresh data

Analytical workflows: chain Wazuh (SIEM) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Wazuh (SIEM) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

Common issues when connecting Wazuh (SIEM) to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Wazuh (SIEM) + LlamaIndex FAQ

Common questions about integrating Wazuh (SIEM) MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Wazuh (SIEM) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.