How to Use the Wazuh (SIEM) MCP in Vercel AI SDK
Real-time Wazuh (SIEM) data streams directly into your React UI using Vercel AI SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Wazuh (SIEM) MCP to Vercel AI SDK
Create your Vinkius account to connect Wazuh (SIEM) to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Check Agent Status with the MCP Server
Need to know if your agents are connected? Call `list_agents` and get a real-time count of all deployed Wazuh endpoints. You can also check cluster health by calling `list_cluster_nodes`. The data streams instantly, so users see the agent list appear live—no loading spinner needed.
Audit Security Policies for Your AI SDK
Run security assessments and get immediate results. Use `get_sca` to check your Wazuh Security Configuration Assessment status. Or, verify file integrity changes by calling `get_syscheck`. The data comes through the stream right as it's ready.
Manage Rules and Decoders via Your AI SDK
Don't want to manually update rules? You can call `update_rule_file` to push changes programmatically. This updates core Wazuh rules instantly. Need to see what you're working with? Use `list_rules` or `list_decoders` to pull the current set of loaded definitions.
Set up Wazuh (SIEM) MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all Wazuh (SIEM) tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 4
Works with any model provider
Swap
openai("gpt-4o")for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
const transport = new StreamableHTTPClientTransport(
new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);
const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "List recent Wazuh (SIEM) transactions",
});
console.log(text);
await mcpClient.close(); 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Wazuh (SIEM) MCP in Vercel AI SDK
Use it with your favorite AI tools
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