Prisma Access MCP Server for LangChain 7 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Prisma Access through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"prisma-access": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Prisma Access, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 LangChain via MCP
Follow these steps to integrate the Prisma Access MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 7 tools from Prisma Access via MCP
Why Use LangChain with the Prisma Access MCP Server
LangChain provides unique advantages when paired with Prisma Access through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Prisma Access MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Prisma Access queries for multi-turn workflows
Prisma Access + LangChain Use Cases
Practical scenarios where LangChain combined with the Prisma Access MCP Server delivers measurable value.
RAG with live data: combine Prisma Access tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Prisma Access, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Prisma Access tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Prisma Access tool call, measure latency, and optimize your agent's performance
Prisma Access MCP Tools for LangChain (7)
These 7 tools become available when you connect Prisma Access to LangChain 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 LangChain
Common issues when connecting Prisma Access to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersPrisma Access + LangChain FAQ
Common questions about integrating Prisma Access MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.