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IBM QRadar

IBM QRadar MCP Server

ibmqradar.com
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Connect IBM QRadar to any AI agent via MCP.

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IBM QRadar
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

What is the IBM QRadar MCP Server?

The IBM QRadar MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to IBM QRadar via 10 tools. Connect IBM QRadar to any AI agent via MCP. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (10)

execute_aqlget_aql_resultsget_aql_statusget_log_sourcesget_network_hierarchyget_offense_detailsget_offensesget_reference_setsget_rulesupdate_offense

Tools for your AI Agents to operate IBM QRadar

Ask your AI agent "Show me the latest data from IBM QRadar" and get the answer without opening a single dashboard. With 10 tools connected to real IBM QRadar data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

Build your own MCP Server with our secure development framework →

Vinkius works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

IBM QRadar MCP Server capabilities

10 tools
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

What the IBM QRadar MCP Server unlocks

Connect IBM QRadar to any AI agent via MCP.

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Connect IBM QRadar with your favorite client

Step-by-step setup guides for every MCP-compatible client and framework:

Claude DesktopIDE

Anthropic's native desktop app for Claude with built-in MCP support.

CursorIDE

AI-first code editor with integrated LLM-powered coding assistance.

VS Code CopilotIDE

GitHub Copilot in VS Code with Agent mode and MCP support.

WindsurfIDE

Purpose-built IDE for agentic AI coding workflows.

ClineIDE

Autonomous AI coding agent that runs inside VS Code.

Claude CodeCLI

Anthropic's agentic CLI for terminal-first development.

OpenAI Agents SDKSDK

Python SDK for building production-grade OpenAI agent workflows.

Google ADKSDK

Google's framework for building production AI agents.

Pydantic AISDK

Type-safe agent development for Python with first-class MCP support.

Vercel AI SDKSDK

TypeScript toolkit for building AI-powered web applications.

M
Mastra AISDK

TypeScript-native agent framework for modern web stacks.

CrewAIFramework

Python framework for orchestrating collaborative AI agent crews.

LangChainFramework

Leading Python framework for composable LLM applications.

LI
LlamaIndexFramework

Data-aware AI agent framework for structured and unstructured sources.

AG
AutoGenFramework

Microsoft's framework for multi-agent collaborative conversations.

Give your AI agents the power of IBM QRadar MCP Server

Production-grade IBM QRadar MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.