Cortex XSIAM MCP Server for Pydantic AI 9 tools — connect in under 2 minutes

Name: Cortex XSIAM
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 9 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Cortex XSIAM through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Cortex XSIAM "
            "(9 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Cortex XSIAM?"
    )
    print(result.data)

asyncio.run(main())

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* 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 Pydantic AI via MCP

Follow these steps to integrate the Cortex XSIAM MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

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 with type-safe schemas

Why Use Pydantic AI with the Cortex XSIAM MCP Server

Pydantic AI provides unique advantages when paired with Cortex XSIAM through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Cortex XSIAM integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Cortex XSIAM connection logic from agent behavior for testable, maintainable code

Cortex XSIAM + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Cortex XSIAM MCP Server delivers measurable value.

Type-safe data pipelines: query Cortex XSIAM with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Cortex XSIAM tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Cortex XSIAM and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Cortex XSIAM responses and write comprehensive agent tests

Cortex XSIAM MCP Tools for Pydantic AI (9)

These 9 tools become available when you connect Cortex XSIAM to Pydantic AI 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 Pydantic AI

Common issues when connecting Cortex XSIAM to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Cortex XSIAM + Pydantic AI FAQ

Common questions about integrating Cortex XSIAM MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Cortex XSIAM MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.