Prisma Cloud MCP Server for LlamaIndex 7 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Prisma Cloud as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Prisma Cloud. "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in Prisma Cloud?"
)
print(response)
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 LlamaIndex via MCP
Follow these steps to integrate the Prisma Cloud MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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 7 tools from Prisma Cloud
Why Use LlamaIndex with the Prisma Cloud MCP Server
LlamaIndex provides unique advantages when paired with Prisma Cloud through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Prisma Cloud tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Prisma Cloud tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Prisma Cloud, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Prisma Cloud tools were called, what data was returned, and how it influenced the final answer
Prisma Cloud + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Prisma Cloud MCP Server delivers measurable value.
Hybrid search: combine Prisma Cloud real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Prisma Cloud to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Prisma Cloud for fresh data
Analytical workflows: chain Prisma Cloud queries with LlamaIndex's data connectors to build multi-source analytical reports
Prisma Cloud MCP Tools for LlamaIndex (7)
These 7 tools become available when you connect Prisma Cloud to LlamaIndex 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 LlamaIndex
Common issues when connecting Prisma Cloud to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpPrisma Cloud + LlamaIndex FAQ
Common questions about integrating Prisma Cloud MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP 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 LlamaIndex
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.