4,000+ servers built on MCP Fusion
Vinkius
Google ADKSDK
Google ADK
Why use IBM QRadar MCP Server with Google ADK?

Bring IBM QRadar
to Google ADK

Create your Vinkius account to connect IBM QRadar to Google ADK and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

MCP Inspector GDPR Free for Subscribers
Execute AqlGet Aql ResultsGet Aql StatusGet Log SourcesGet Network HierarchyGet Offense DetailsGet OffensesGet Reference SetsGet RulesUpdate Offense
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
IBM QRadar

What is the IBM QRadar MCP Server?

Connect IBM QRadar to any AI agent via MCP. Unlock 10 tools ready out of the box. Connect this MCP Server to instantly empower AI agents like Claude Code, Cursor, or any MCP-compatible client with advanced capabilities.

Built-in capabilities (10)

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

Why Google ADK?

Google ADK natively supports IBM QRadar as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

  • Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

  • Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with IBM QRadar

  • Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

  • Seamless integration with Google Cloud services means you can combine IBM QRadar tools with BigQuery, Vertex AI, and Cloud Functions

G
See it in action

IBM QRadar in Google ADK

Prompt examples coming soon.

Enterprise Security

Why run IBM QRadar with Vinkius?

The IBM QRadar connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

IBM QRadar
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect IBM QRadar using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

IBM QRadar and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect IBM QRadar to Google ADK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures IBM QRadar for Google ADK

Every request between Google ADK and IBM QRadar is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

04

McpToolset not found

Update: pip install --upgrade google-adk

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