Cortex XSIAM MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Cortex XSIAM as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Cortex XSIAM. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Cortex XSIAM?"
)
print(response)
asyncio.run(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 Cortex XSIAM MCP Server
Connect Cortex XSIAM to any AI agent via MCP.
How to Connect Cortex XSIAM to LlamaIndex via MCP
Follow these steps to integrate the Cortex XSIAM MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 9 tools from Cortex XSIAM
Why Use LlamaIndex with the Cortex XSIAM MCP Server
LlamaIndex provides unique advantages when paired with Cortex XSIAM through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Cortex XSIAM tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Cortex XSIAM tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Cortex XSIAM, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Cortex XSIAM tools were called, what data was returned, and how it influenced the final answer
Cortex XSIAM + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Cortex XSIAM MCP Server delivers measurable value.
Hybrid search: combine Cortex XSIAM real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Cortex XSIAM to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Cortex XSIAM for fresh data
Analytical workflows: chain Cortex XSIAM queries with LlamaIndex's data connectors to build multi-source analytical reports
Cortex XSIAM MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect Cortex XSIAM to LlamaIndex via MCP:
execute_playbook
g., enrich IOCs, block IP, reset password). Requires playbook name and optional input arguments. Use this to speed up response times and ensure consistent handling of incidents. Execute an automated incident response playbook in Cortex XSIAM
get_alerts
Use this to review detection rules firing or analyze threat patterns. List security alerts detected by Cortex XSIAM
get_endpoints
Use this to audit endpoint coverage, identify disconnected hosts, or target remediation actions. List managed endpoints (hosts/devices) in Cortex XSIAM
get_incident_details
Requires the incident ID. Use this for deep investigation or context before taking action. Get detailed information about a specific security incident
get_incidents
Use this to monitor SOC queue, identify high-severity incidents, or track analyst workload. Supports sorting and limiting results. List security incidents in Cortex XSIAM
get_indicators
Use this to review threat intelligence or check if specific artifacts are known malicious. List indicators of compromise (IOCs) tracked in Cortex XSIAM
isolate_endpoint
Requires the endpoint ID. Use this immediately upon confirming a severe compromise to prevent lateral movement. Isolate a compromised endpoint from the network
run_xql_query
XQL allows searching logs, endpoints, network data, and more. Requires a valid XQL query string. Returns the results of the query. Use this for custom threat hunting, compliance reporting, or data analysis. Execute an XQL (Cortex Query Language) query for advanced threat hunting
scan_endpoint
Supports "quick" or "deep" scan types. Requires the endpoint ID. Use this to verify if a host is infected or after cleaning a threat. Trigger a malware scan on a specific endpoint
Troubleshooting Cortex XSIAM MCP Server with LlamaIndex
Common issues when connecting Cortex XSIAM to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCortex XSIAM + LlamaIndex FAQ
Common questions about integrating Cortex XSIAM MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Cortex XSIAM 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 Cortex XSIAM to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.