Prisma Cloud MCP Server for AutoGen 7 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Prisma Cloud as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="prisma_cloud_agent",
tools=tools,
system_message=(
"You help users with Prisma Cloud. "
"7 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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 Prisma Cloud MCP Server
Connect Prisma Cloud to any AI agent via MCP.
How to Connect Prisma Cloud to AutoGen via MCP
Follow these steps to integrate the Prisma Cloud MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 7 tools from Prisma Cloud automatically
Why Use AutoGen with the Prisma Cloud MCP Server
AutoGen provides unique advantages when paired with Prisma Cloud through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Prisma Cloud tools to solve complex tasks
Role-based architecture lets you assign Prisma Cloud tool access to specific agents — a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Prisma Cloud tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Prisma Cloud tool responses in an isolated environment
Prisma Cloud + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Prisma Cloud MCP Server delivers measurable value.
Collaborative analysis: one agent queries Prisma Cloud while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Prisma Cloud, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Prisma Cloud data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Prisma Cloud responses in a sandboxed execution environment
Prisma Cloud MCP Tools for AutoGen (7)
These 7 tools become available when you connect Prisma Cloud to AutoGen via MCP:
get_alerts
Use this to identify misconfigurations or security risks in cloud resources. List active security alerts in Prisma Cloud
get_cloud_accounts
Use this to audit cloud inventory and verify onboarding status. List all cloud accounts onboarded in Prisma Cloud
get_compliance
Returns failing checks and remediation steps. Use this to audit cloud security posture and ensure regulatory compliance. Check cloud compliance status against benchmarks (CIS, etc)
get_network_anomalies
Use this to identify compromised workloads or insider threats. Detect network anomalies and unusual traffic patterns in the cloud
get_policies
Use this to review security rules enforced across cloud environments. List all security policies configured in Prisma Cloud
get_user_profile
Use this to verify API access levels or troubleshoot permissions. Get profile information for the authenticated Prisma Cloud user
run_rql_query
Requires a valid RQL string. Returns matching resources. Use this for custom compliance checks or hunting misconfigurations. Execute a Resource Query Language (RQL) query for deep cloud analysis
Troubleshooting Prisma Cloud MCP Server with AutoGen
Common issues when connecting Prisma Cloud to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Prisma Cloud + AutoGen FAQ
Common questions about integrating Prisma Cloud MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Prisma Cloud 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 Prisma Cloud to AutoGen
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.