4,000+ servers built on MCP Fusion
Vinkius
LlamaIndexFramework
LlamaIndex
Why use IBM QRadar MCP Server with LlamaIndex?

Bring IBM QRadar
to LlamaIndex

Create your Vinkius account to connect IBM QRadar to LlamaIndex 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 LlamaIndex?

LlamaIndex agents combine IBM QRadar tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

  • Data-first architecture: LlamaIndex agents combine IBM QRadar tool responses with indexed documents for comprehensive, grounded answers

  • Query pipeline framework lets you chain IBM QRadar tool calls with transformations, filters, and re-rankers in a typed pipeline

  • Multi-source reasoning: agents can query IBM QRadar, a vector store, and a SQL database in a single turn and synthesize results

  • Observability integrations show exactly what IBM QRadar tools were called, what data was returned, and how it influenced the final answer

L
See it in action

IBM QRadar in LlamaIndex

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 LlamaIndex 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 LlamaIndex

Every request between LlamaIndex 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 LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query IBM QRadar tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

04

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

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