Wazuh (SIEM) MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 21 tools to Create Agent, Create Security Role, Delete Agents, and more
GDPR Free for SubscribersThe Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Wazuh (SIEM) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this MCP Server for Vercel AI SDK
The Wazuh (SIEM) MCP Server for Vercel AI SDK 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
Geminiimport { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Wazuh (SIEM), list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Vercel AI SDK gives every Wazuh (SIEM) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 21 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK
When Vercel AI 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 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 Vercel AI SDK via MCP
Follow these steps to wire Wazuh (SIEM) into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Wazuh (SIEM) MCP Server
Vercel AI SDK provides unique advantages when paired with Wazuh (SIEM) through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Wazuh (SIEM) integration everywhere
Built-in streaming UI primitives let you display Wazuh (SIEM) tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Wazuh (SIEM) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Wazuh (SIEM) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Wazuh (SIEM) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Wazuh (SIEM) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Wazuh (SIEM) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Wazuh (SIEM) through natural language queries
Example Prompts for Wazuh (SIEM) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting Wazuh (SIEM) to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpWazuh (SIEM) + Vercel AI SDK FAQ
Common questions about integrating Wazuh (SIEM) MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Explore More MCP Servers
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