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Vinkius

PAN-OS MCP Server for LangChain 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect PAN-OS through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
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({
        "pan-os": {
            "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 PAN-OS, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
PAN-OS
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 PAN-OS MCP Server

Connect PAN-OS to any AI agent via MCP.

How to Connect PAN-OS to LangChain via MCP

Follow these steps to integrate the PAN-OS MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 8 tools from PAN-OS via MCP

Why Use LangChain with the PAN-OS MCP Server

LangChain provides unique advantages when paired with PAN-OS through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine PAN-OS MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across PAN-OS queries for multi-turn workflows

PAN-OS + LangChain Use Cases

Practical scenarios where LangChain combined with the PAN-OS MCP Server delivers measurable value.

01

RAG with live data: combine PAN-OS tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query PAN-OS, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain PAN-OS tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every PAN-OS tool call, measure latency, and optimize your agent's performance

PAN-OS MCP Tools for LangChain (8)

These 8 tools become available when you connect PAN-OS to LangChain via MCP:

01

commit

This validates the config and activates it. Returns the commit job ID and status. Use this after making configuration changes to activate them. Commit the candidate configuration to running configuration

02

get_active_sessions

Use this to monitor real-time activity, identify heavy users, or debug connection issues. List all active network sessions on the firewall

03

get_nat_rules

Use this to audit NAT configurations or troubleshoot connectivity issues. List all NAT rules configured on the firewall

04

get_pending_changes

Use this to verify if the running configuration matches the candidate configuration before committing. Check if there are uncommitted configuration changes

05

get_security_rules

Use this to audit firewall policies, review access controls, or analyze rule usage. List all security rules configured on the firewall

06

get_system_info

Use this to verify firewall health, check software versions, or confirm connectivity. Get system information and status of the PAN-OS firewall

07

get_threat_logs

Contains source/dest IPs, threat names, severity, actions taken, and PCAP availability. Use this to investigate security incidents or analyze attack vectors. Retrieve recent threat logs from the firewall

08

get_traffic_logs

Optional limit parameter controls number of logs returned. Use this to analyze traffic patterns, identify blocked connections, or troubleshoot network issues. Retrieve recent traffic logs from the firewall

Troubleshooting PAN-OS MCP Server with LangChain

Common issues when connecting PAN-OS to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

PAN-OS + LangChain FAQ

Common questions about integrating PAN-OS MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect PAN-OS to LangChain

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.