Cortex XSIAM MCP Server for LangChain 9 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Cortex XSIAM through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"cortex-xsiam": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Cortex XSIAM, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 LangChain via MCP
Follow these steps to integrate the Cortex XSIAM MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 9 tools from Cortex XSIAM via MCP
Why Use LangChain with the Cortex XSIAM MCP Server
LangChain provides unique advantages when paired with Cortex XSIAM through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Cortex XSIAM MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Cortex XSIAM queries for multi-turn workflows
Cortex XSIAM + LangChain Use Cases
Practical scenarios where LangChain combined with the Cortex XSIAM MCP Server delivers measurable value.
RAG with live data: combine Cortex XSIAM tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Cortex XSIAM, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Cortex XSIAM tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Cortex XSIAM tool call, measure latency, and optimize your agent's performance
Cortex XSIAM MCP Tools for LangChain (9)
These 9 tools become available when you connect Cortex XSIAM to LangChain 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 LangChain
Common issues when connecting Cortex XSIAM to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCortex XSIAM + LangChain FAQ
Common questions about integrating Cortex XSIAM MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.