PAN-OS MCP for AI. Audit rules, check sessions, manage firewall state.
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PAN-OS MCP Server connects any AI agent directly to your firewall policies. It lets you audit rules, check active sessions, and validate changes across the entire network stack using natural language commands.
You can run complex security checks—like listing NAT or checking for pending commits—without touching a CLI.
What your AI can do
Commit
Validates a candidate configuration set and activates it on the firewall after changes are made.
Get active sessions
Lists all current network sessions running on the firewall for real-time monitoring.
Get nat rules
Retrieves every configured Network Address Translation (NAT) rule for auditing purposes.
List and review all configured firewall policies, including security rules and NAT mappings.
Retrieve a list of all active network sessions to identify current user load or debug connections.
Pull detailed threat logs, including source/destination IPs and actions taken, for security incident review.
Check the firewall for uncommitted changes or gather system health data to ensure policy consistency before deployment.
Commit candidate configuration changes, validating and activating new network policies across the device.
Ask an AI about this
PAN-OS MCP Server: 8 Tools for Network Operations
Manage complex networking tasks—from auditing firewall rules to committing policy changes—by connecting your preferred AI agent to PAN-OS.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using PAN-OS on VinkiusCommit
Validates a candidate configuration set and activates it on the firewall after changes are made.
Get Active Sessions
Lists all current network sessions running on the firewall for real-time monitoring.
Get Nat Rules
Retrieves every configured Network Address Translation (NAT) rule for auditing...
Get Pending Changes
Checks if there are any configuration changes waiting to be applied or committed.
Get Security Rules
Lists all defined firewall policies and access control rules on the device.
Get System Info
Gathers basic system health data, including software versions and general status checks for the PAN-OS firewall.
Get Threat Logs
Retrieves detailed records of recent security threats, including source/dest IPs and severity.
Get Traffic Logs
Gets a stream of general network traffic logs to analyze flow patterns or...
Security and governance baked right in.
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Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The PAN-OS integration is available immediately — no restart needed.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with PAN-OS, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 8 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Auditing firewall policies used to be a multi-tab, copy-paste nightmare.
Today, auditing policy rules means logging into the CLI, running `show rulebase` for security rules, then separately running commands for NATs. You have to manually piece together whether an IP address is covered by a rule or if it's falling through.
With this MCP server, you ask your agent for all policies and NATs. It executes `get_security_rules` and `get_nat_rules`, returning them both in one structured payload. You get the full picture instantly.
Use PAN-OS MCP Server: Validate changes before you commit.
Before making a change, you can't just hit 'apply.' First, you need to check what the system thinks is wrong using `get_pending_changes`. Then, if you confirm the state is clean, you run the actual policy changes and execute the `commit` command.
This creates a validated workflow. The agent doesn't just apply—it checks first, confirming that your network remains stable through every step.
What your AI can actually do with this
The PAN-OS MCP Server hooks your AI agent right into the core operational data of the firewall. You don't gotta run cryptic show commands in a CLI anymore; you just tell your agent what you need to know or what change needs making. This setup gives your client deep visibility, letting you audit policies and manage changes across the whole network stack using plain language.
Auditing Network Rules
To get a full picture of your access controls, use get_security_rules to list every defined firewall policy on the device. You'll see all the rules governing what traffic gets through. If you need to check how addresses are translated, run get_nat_rules; this pulls back every Network Address Translation (NAT) rule that’s active for auditing.
For a quick system health check or just basic versioning info, use get_system_info. These three tools let you audit the foundational policies and rules without touching any console.
Monitoring Live Traffic
Monitoring traffic is straightforward. If you need to know what's moving right now, run get_active_sessions to get a real-time list of every network session running on the firewall. For analyzing general flow patterns or troubleshooting connectivity issues, use get_traffic_logs, which gives you a stream of raw network traffic data. If something bad happens—a threat pops up—you pull detailed records using get_threat_logs.
These logs show source/destination IPs and exactly what action was taken during the security incident.
Validating and Enforcing Changes
Before deploying anything, you gotta check if there are any configuration changes sitting there waiting to be applied. The get_pending_changes tool tells you that; it lets you verify config drift before you commit. If everything looks good—the rules pass the audit and no weird pending commits exist—you run commit. This tool validates a candidate configuration set and activates those new policies on the firewall, making them live.
You'll use these tools to ensure policy consistency across the board.
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Here's how it actually works
The bottom line is: It moves complex, multi-step CLI operations into simple chat commands.
Tell your AI agent exactly what you need to check or change (e.g., 'Check for uncommitted rules' or 'Show traffic logs for 1 hour ago').
The agent selects the appropriate tool (get_pending_changes or get_traffic_logs) and executes it against the PAN-OS server.
You get a structured JSON payload containing the specific data—be it a list of rules, active sessions, or threat entries—that you can then read and act on.
Who is this actually for?
The Security Operations Center (SOC) analyst who spends hours cross-referencing logs and rule sets. The network engineer tired of jumping between the GUI and the command line just to audit a single policy change. If your job involves compliance audits or incident response, this is for you.
Runs get_threat_logs after an alert fires, then uses get_active_sessions to see if the threat source is still connected.
Uses get_pending_changes and commit in a controlled cycle to deploy new rules without breaking production traffic.
Runs get_security_rules and get_nat_rules systematically against compliance baselines, generating an auditable report instantly.
What Changes When You Connect
Stop manually checking the CLI. Use get_security_rules and get_nat_rules to audit thousands of policies instantly via your agent.
Catch configuration drift immediately. Run get_pending_changes before you commit anything—it verifies if the running config matches what's supposed to be there.
Respond faster to attacks. Instead of digging through massive logs, run get_threat_logs and get structured data on recent security incidents.
Monitor live connections without logging in. Use get_active_sessions to see who's connected right now or identify a heavy user causing issues.
Safe policy deployment: The agent can validate the config and then use the commit tool to apply changes, automating enforcement.
See it in action
Compliance Audit Check
A compliance officer needs to prove that no unauthorized ports are open. They ask their agent: 'List all security rules and check for any exceptions.' The agent runs get_security_rules and cross-references the results with known baseline policies, generating a report without manual CLI work.
Troubleshooting Intermittent Connectivity
A user reports connection drops. The engineer asks their agent to check two things: first, 'What are the active sessions for that user?' (get_active_sessions). Second, 'Are there any general traffic logs showing failure patterns?' (get_traffic_logs). This pinpoints whether it's a session limit or a flow block.
Handling an Active Breach
The SOC analyst sees an alert for suspicious IPs. They immediately ask the agent to run get_threat_logs and identify all associated IP ranges. Then, they use this data to update rules and execute a controlled commit.
Pre-Deployment Validation
A network team is ready to implement new geo-IP blocking. Before running the changes, they ask the agent to run get_pending_changes to ensure the current config is stable, preventing accidental rollback or unexpected side effects.
The honest tradeoffs
Assuming rules are always correct
Running a commit command without first checking if there are uncommitted changes. This can overwrite necessary policies and break the network.
Always run get_pending_changes first. If it reports zero differences, you know your configuration is clean to push.
Treating logs as a single dump
Relying only on general traffic logs (get_traffic_logs) when investigating an attack. General logs won't tell you if the activity was malicious.
Always pair get_traffic_logs with get_threat_logs. The threat tool gives you the security context; the traffic log gives you the flow data.
Skipping system checks
Attempting to deploy a critical policy update without knowing if the firewall's software version is current or healthy. This leads to unexpected failure modes.
Start with get_system_info. If it reports warnings, don't commit anything until those issues are resolved.
When It Fits, When It Doesn't
Use this MCP Server if your task involves deep operational visibility (read-heavy) or requires a validated policy change cycle. Specifically, you need to correlate audit data (get_security_rules, get_nat_rules) with real-time state monitoring (get_active_sessions).
Don't use this if all you need is simple uptime status (use basic health checks or external monitoring tools). Don't use it if your goal is just writing a script that reads local files—the server talks to the firewall. If you are only analyzing raw data streams without needing policy control, dedicated log analysis platforms might be better than running through get_traffic_logs repeatedly.
The key differentiator: This tool provides both comprehensive read access and controlled write capability (commit), which is rare in a single endpoint.
Questions you might have
How do I use get_active_sessions to check who is connected? +
You instruct the agent to run get_active_sessions. The resulting data lists every current session, allowing you to see which users or IPs are currently using network resources.
Do I need to run commit after using get_security_rules? +
No. get_security_rules only reads the existing configuration; it doesn't make changes. You only use commit when you have made and validated new policy edits you want to enforce.
What is the difference between get_traffic_logs and get_threat_logs? +
get_traffic_logs shows raw flow data (who talked to whom). get_threat_logs only returns records flagged as security threats, making it better for incident investigation.
When I run `get_pending_changes`, how do I know if there are no configuration changes waiting? +
It returns a clear status indicating consistency. If the tool reports zero pending changes, your running config matches your candidate config; you can safely commit.
If my `commit` job fails, how do I check for specific error messages or rollbacks? +
The returned status object contains detailed failure codes. Reviewing this status tells you if the system rolled back changes or gives a specific reason for rejection.
Does `get_system_info` provide details about the PAN-OS software version and build? +
Yes, it retrieves the current operating system's full version string. This is crucial data for confirming compatibility between your AI client and the firewall.
Can I use `get_nat_rules` to filter out rules based on specific IP ranges or zones? +
You can pass parameters to scope the search. Specifying source or destination IP addresses lets you audit only the NAT rules relevant to a particular network segment.
How do I control the volume of logs returned when using `get_traffic_logs`? +
The tool accepts an optional limit parameter. Passing this number allows you to manage the data size, ensuring your AI agent processes only the necessary log entries.
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