Prisma Access 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 Access 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 Access. "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in Prisma Access?"
)
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 Access MCP Server
Connect Prisma Access to any AI agent via MCP.
How to Connect Prisma Access to LlamaIndex via MCP
Follow these steps to integrate the Prisma Access 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 Access
Why Use LlamaIndex with the Prisma Access MCP Server
LlamaIndex provides unique advantages when paired with Prisma Access through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Prisma Access tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Prisma Access tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Prisma Access, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Prisma Access tools were called, what data was returned, and how it influenced the final answer
Prisma Access + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Prisma Access MCP Server delivers measurable value.
Hybrid search: combine Prisma Access real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Prisma Access 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 Access for fresh data
Analytical workflows: chain Prisma Access queries with LlamaIndex's data connectors to build multi-source analytical reports
Prisma Access MCP Tools for LlamaIndex (7)
These 7 tools become available when you connect Prisma Access to LlamaIndex via MCP:
get_locations
Use this to review network topology or troubleshoot routing. List mobile user locations and remote networks
get_policies
Use this to audit SASE policies. List security policies enforced in Prisma Access
get_service_endpoints
Use this to verify regional connectivity or configure DNS routing. List Prisma Access service endpoints (PoPs)
get_threat_logs
Includes severity, attack details, and action taken. Use this to investigate attacks against remote endpoints. Retrieve recent threat detection logs from Prisma Access
get_traffic_logs
Use this to analyze usage patterns or debug access issues. Retrieve recent network traffic logs from Prisma Access
get_tunnels
Use this to monitor network connectivity and troubleshoot tunnel drops. List SD-WAN and network tunnels in Prisma Access
get_users
Use this to audit remote work access or identify inactive accounts. List remote users connected to Prisma Access
Troubleshooting Prisma Access MCP Server with LlamaIndex
Common issues when connecting Prisma Access to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpPrisma Access + LlamaIndex FAQ
Common questions about integrating Prisma Access 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 Access 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 Access to LlamaIndex
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.