Prisma Cloud MCP. Audit compliance and detect hidden network threats.
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Prisma Cloud connects to your AI agent via MCP, letting it audit cloud environments on demand. It provides tools to check security alerts, verify compliance status against standards like CIS, find network anomalies, and list all active cloud policies across accounts.
What your AI agents can do
Get alerts
Lists all active security alerts and misconfigurations found within your cloud resources.
Get cloud accounts
Provides a full list of every cloud account that has been onboarded to Prisma Cloud for auditing purposes.
Get compliance
Checks your overall cloud security posture against predefined benchmarks (like CIS) and reports failing checks with remediation steps.
Retrieves and lists all current security alerts and misconfigurations across your cloud resources using get_alerts.
Lists every cloud account onboarded in Prisma Cloud, helping you verify full coverage or check onboarding status using get_cloud_accounts.
Runs checks against industry benchmarks (CIS, etc.) and returns failing resource IDs along with clear remediation steps via get_compliance.
Analyzes traffic patterns to spot network anomalies or unusual activity that might signal a compromised workload using get_network_anomalies.
Lists all security policies enforced in your cloud environment via get_policies, or pulls user profile data to verify API access levels with get_user_profile.
Executes complex Resource Query Language (RQL) strings for highly customized, deep-dive cloud analysis using run_rql_query.
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Supported MCP Clients
Gemini Prisma Cloud MCP Server: 7 Tools for Cloud Auditing
These tools let your agent perform deep audits, verify compliance against standards, and track security alerts across all connected cloud environments.
019d75f9get alerts
Lists all active security alerts and misconfigurations found within your cloud resources.
019d75f9get cloud accounts
Provides a full list of every cloud account that has been onboarded to Prisma Cloud for auditing purposes.
019d75f9get compliance
Checks your overall cloud security posture against predefined benchmarks (like CIS) and reports failing checks with remediation steps.
019d75f9get network anomalies
Detects unusual traffic patterns or network anomalies that could indicate a compromised workload or insider threat.
019d75f9get policies
Retrieves and lists all the security policies currently enforced across your various cloud environments.
019d75f9get user profile
Pulls profile information for the connected user to verify current API access levels and troubleshoot permission issues.
019d75f9run rql query
Executes a custom Resource Query Language (RQL) query, allowing deep analysis of specific resources or hunting tailored misconfigurations.
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 Prisma Cloud, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ 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
What you can do with this MCP connector
Prisma Cloud MCP Server - Audit Cloud Security Posture
This server lets your agent drill straight into Prisma Cloud’s auditing functions. You don't have to sit there clicking through dashboards; you just ask your client a question—like, “What resources failed CIS compliance?” The agent handles the whole connection and runs the tools for you.
It's built for security teams who need total visibility without manually hopping between screens. Your AI client can immediately identify active security risks by using get_alerts, which spits out a comprehensive list of every current security alert and misconfiguration across your entire cloud estate.
When you gotta check regulatory compliance, get_compliance runs deep checks against major industry benchmarks like CIS. It doesn't just tell you if you failed; it reports the specific failing resource IDs and gives you clear steps on how to fix 'em right then and there. To track down threats, you run get_network_anomalies, which analyzes traffic patterns to spot unusual activity or network anomalies that might mean a workload's compromised.
To verify your coverage, you first use get_cloud_accounts to pull a full inventory of every cloud account onboarded in Prisma Cloud. You can pair this scope check with get_policies, which retrieves and lists all the security policies currently enforced across those accounts.
Need to know who's running the show? You run get_user_profile to grab profile information for the connected user, letting you verify current API access levels or troubleshoot permission issues on the fly.
If standard checks aren’t enough, you gotta dig deep. Use run_rql_query to execute a custom Resource Query Language (RQL) string. This lets your agent perform highly customized analysis, giving you hunting capabilities over specific resources or finding tailored misconfigurations that automated scans might miss.
This server turns complex, multi-step audits into one simple chat command. It gives your AI client the power to audit cloud inventory using get_cloud_accounts, check for immediate misconfigurations with get_alerts, verify compliance status with get_compliance, detect network threats via get_network_anomalies, review security policies with get_policies and user credentials through get_user_profile, or run deep, custom queries using run_rql_query.
You're talking about immediate, actionable data pulled straight from the source.
How Prisma Cloud MCP Works
- 1 You ask your AI client to audit a specific area—for example, "What compliance rules are failing in our production environment?"
- 2 Your agent identifies the need for structured data and calls the appropriate tool (e.g.,
get_compliance), passing required parameters. - 3 Prisma Cloud executes the tool, fetches the raw findings (failing checks, resource IDs), and sends the clean result back to your AI client.
The bottom line is: you tell the agent what security question you have, and it runs the exact function needed to answer it.
Who Is Prisma Cloud MCP For?
This is for the Security Analyst who gets paid to stare at dashboards all day. You're tired of manually clicking from the 'Alerts' tab to the 'Policy' section, then running a separate compliance report just to piece together a risk score. This server lets you ask complex questions and get structured data back immediately.
Runs continuous audits by chaining calls like get_alerts followed by run_rql_query to hunt for specific misconfigurations that standard reports miss.
Verifies adherence to external standards (PCI, HIPAA) by calling get_compliance, ensuring all remediation steps are documented and actionable.
Validates cloud resource provisioning status by checking account inventory with get_cloud_accounts or reviewing user roles using get_user_profile before deployment.
What Changes When You Connect
- Stop manually cross-referencing data. You can chain
get_alertswithrun_rql_queryto find misconfigurations that standard reports miss, giving you a complete risk picture in one prompt. - Instantly verify regulatory adherence. Call
get_complianceand get structured output listing exactly which controls fail (CIS, etc.)—no more reading vague summary reports. - Know who has access to what. Use
get_user_profilebefore granting new permissions. It verifies the actual API roles attached to a user, cutting down on privilege creep. - Find threats that aren't alerts. Run
get_network_anomalieswhen you suspect lateral movement or insider activity. This goes beyond simple policy violations. - Audit your entire footprint at once. Running
get_cloud_accountsensures the AI client has checked every single linked environment, preventing blind spots in inventory management.
Real-World Use Cases
Pre-audit check for new services
A DevOps engineer needs to provision a new database. Instead of waiting for the quarterly audit report, they prompt their agent: "Check compliance and user access for this resource type." The agent runs get_compliance first, then uses get_user_profile on the service account, confirming both standards adherence and proper least-privilege access before the deployment starts.
Investigating a suspected data leak
The Security Analyst suspects an insider threat. They ask their agent to look for suspicious activity across two streams: first running get_network_anomalies to detect unusual egress traffic, and second running get_alerts to correlate that activity with any recently flagged misconfigurations or unauthorized resource access.
Quarterly compliance readiness check
The Compliance Officer needs a comprehensive report. They instruct the agent to run get_compliance, which returns failing checks and remediation steps. Then, they follow up with run_rql_query to pull all related resource IDs for manual ticket creation, creating a complete audit trail.
Verifying account onboarding status
Before merging two business units' cloud environments, the agent first runs get_cloud_accounts. This ensures every target environment is accounted for. Then, the team uses get_policies to audit if consistent security rules are applied across all newly discovered accounts.
The Tradeoffs
Treating tools as independent checklists
The user runs get_alerts (finding a misconfig) and then runs get_policies (showing a rule exists). They assume the problem is solved because both reports look 'clean' on their own.
→
Don't stop at individual tool outputs. You need to correlate them. Use run_rql_query to specifically query resources that are both flagged by get_alerts AND fall under a policy gap identified by get_policies. This finds the overlap.
Over-relying on basic status checks
Asking only for 'Are there any alerts?' and stopping when the answer is 'No.' This misses subtle, novel attack patterns.
→
Always follow up simple checks. If get_alerts returns clear, run get_network_anomalies to detect unusual traffic that might not yet trigger a formal alert status.
Ignoring account coverage gaps
Assuming all departments are covered because the main accounts look good. The agent only checks known buckets, missing shadow IT environments.
→
Always start by running get_cloud_accounts first. This guarantees your audit scope is exhaustive before you run any specific compliance or alert checks.
When It Fits, When It Doesn't
Use this MCP server if your job involves auditing, verifying adherence to external standards, or investigating complex security incidents where data correlation is key. You need an AI agent that can act as a virtual SOC analyst, chaining calls like get_alerts -> get_compliance -> run_rql_query to build a comprehensive risk score.
Don't use this if you simply need to check the status of one specific resource. If all you need is to verify that a single user has read-only access, checking the console directly might be faster than setting up an agent call chain. This server is for systemic visibility across entire cloud environments, not point-in-time checks.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Prisma Cloud. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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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 server provides 7 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Security audits shouldn't require 20 clicks and three different dashboards.
Right now, finding a full compliance picture means logging into the console, checking the 'Alerts' tab for misconfigurations, then navigating to the 'Policies' section to see what rules exist, and finally exporting data from the separate 'Compliance Report' view. It’s manual, it takes an hour, and you always lose context between tabs.
With this MCP server, your agent handles that entire flow in a single command. You ask for compliance status, and the agent runs `get_compliance`, compiling failing checks and remediation steps immediately. The result is structured data, not a PDF export.
Prisma Cloud MCP Server: get_alerts, run cloud security audits from chat.
Previously, finding an active risk meant remembering which tool was for alerts versus which tool checked policies. You'd have to manually cross-reference the list of misconfigured resources against the full policy set to find gaps.
Now, you ask the agent to 'Find all critical network anomalies related to outdated policies.' The agent combines `get_network_anomalies` and `get_policies`, giving you a definitive answer in seconds. That's how fast it should be.
Common Questions About Prisma Cloud MCP
How do I check overall compliance using get_compliance? +
You simply ask your agent to run get_compliance. The tool checks your cloud security posture against benchmarks like CIS and reports back all failing checks along with specific steps needed to fix them.
Is there a way to find custom misconfigurations? How does run_rql_query help? +
run_rql_query lets you execute Resource Query Language (RQL) strings. This is your escape hatch for deep analysis, letting you hunt for specific resource states that standard alerts might miss.
Can I audit all my connected accounts at once with get_cloud_accounts? +
Yes, running get_cloud_accounts lists every cloud account onboarded to Prisma Cloud. This is critical for ensuring your audits aren't missing any shadow IT environments.
How do I find potential insider threats? Should I use get_network_anomalies? +
Yes, get_network_anomalies detects unusual traffic patterns. It helps identify compromised workloads or suspicious activity that goes beyond simple policy violations.
How do I review all the security rules enforced across my environment? Should I use get_policies? +
Yes, get_policies lists every security policy configured in Prisma Cloud. This lets you audit the guardrails that are active across your cloud environments.
I need to know about immediate risks; how do I check my current warnings? Should I use get_alerts? +
It gives a list of all active security alerts. This function helps you pinpoint immediate misconfigurations or risks that require quick attention, separate from general compliance reports.
How can I verify what permissions my AI agent has? Should I use get_user_profile? +
It retrieves the profile details for the connected user. Run this to check your API access levels and make sure your agent has enough permission before running critical tasks.
When using run_rql_query, how do I scope my search? Can I limit the results? +
You must include specific filters in your RQL string. This allows you to narrow down deep cloud analysis to only the resources or types of assets you are interested in.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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