IBM QRadar MCP Server for Cursor 10 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"ibm-qradar": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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 Cursor via MCP
Follow these steps to integrate the IBM QRadar MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using IBM QRadar
Open Agent mode in chat and ask: "Using IBM QRadar, help me...". 10 tools available
Why Use Cursor with the IBM QRadar MCP Server
Cursor AI Code Editor provides unique advantages when paired with IBM QRadar through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
IBM QRadar + Cursor Use Cases
Practical scenarios where Cursor combined with the IBM QRadar MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
IBM QRadar MCP Tools for Cursor (10)
These 10 tools become available when you connect IBM QRadar to Cursor 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 Cursor
Common issues when connecting IBM QRadar to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
IBM QRadar + Cursor FAQ
Common questions about integrating IBM QRadar MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
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 Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
