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Wazuh (SIEM) MCP Server for Mastra AIGive Mastra AI instant access to 21 tools to Create Agent, Create Security Role, Delete Agents, and more

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Wazuh (SIEM) through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this MCP Server for Mastra AI

The Wazuh (SIEM) MCP Server for Mastra AI 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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VS CodeVS Code
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+ other MCP clients
typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "wazuh-siem": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Wazuh (SIEM) Agent",
    instructions:
      "You help users interact with Wazuh (SIEM) " +
      "using 21 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Wazuh (SIEM)?"
  );
  console.log(result.text);
}

main();
Wazuh (SIEM)
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.

Mastra's agent abstraction provides a clean separation between LLM logic and Wazuh (SIEM) tool infrastructure. Connect 21 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI

When Mastra AI 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 Mastra AI via MCP

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

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 21 tools from Wazuh (SIEM) via MCP

Why Use Mastra AI with the Wazuh (SIEM) MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Wazuh (SIEM) without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Wazuh (SIEM) tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Wazuh (SIEM) + Mastra AI Use Cases

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

01

Automated workflows: build multi-step agents that query Wazuh (SIEM), process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Wazuh (SIEM) as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Wazuh (SIEM) on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Wazuh (SIEM) tools alongside other MCP servers

Example Prompts for Wazuh (SIEM) in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Wazuh (SIEM) immediately.

01

"List all Wazuh agents that are currently active."

02

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

03

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

Troubleshooting Wazuh (SIEM) MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Wazuh (SIEM) + Mastra AI FAQ

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

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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