IBM QRadar MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect IBM QRadar through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { 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 IBM QRadar, 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 IBM QRadar MCP Server
Connect IBM QRadar to any AI agent via MCP.
How to Connect IBM QRadar to Vercel AI SDK via MCP
Follow these steps to integrate the IBM QRadar MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from IBM QRadar and passes them to the LLM
Why Use Vercel AI SDK with the IBM QRadar MCP Server
Vercel AI SDK provides unique advantages when paired with IBM QRadar 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 IBM QRadar integration everywhere
Built-in streaming UI primitives let you display IBM QRadar 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
IBM QRadar + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the IBM QRadar MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query IBM QRadar in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate IBM QRadar tools and return structured JSON responses to any frontend
Chatbots with tool use: embed IBM QRadar capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with IBM QRadar through natural language queries
IBM QRadar MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect IBM QRadar to Vercel AI SDK via MCP:
execute_aql
Returns a search ID for async retrieval. Execute an Ariel Query Language (AQL) search
get_aql_results
Get results from a completed AQL search
get_aql_status
Get the status of an AQL search
get_log_sources
List QRadar log sources
get_network_hierarchy
List QRadar network hierarchy
get_offense_details
Get details for a specific QRadar offense
get_offenses
List QRadar offenses
get_reference_sets
). List QRadar reference sets
get_rules
List QRadar correlation rules
update_offense
Update a QRadar offense
Troubleshooting IBM QRadar MCP Server with Vercel AI SDK
Common issues when connecting IBM QRadar to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpIBM QRadar + Vercel AI SDK FAQ
Common questions about integrating IBM QRadar 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.Connect IBM QRadar with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect IBM QRadar to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.