CyberArk Privilege Cloud MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect CyberArk Privilege Cloud through the 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({
"cyberark-privilege-cloud": {
"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 CyberArk Privilege Cloud, 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 CyberArk Privilege Cloud MCP Server
Connect your CyberArk Privilege Cloud account to any AI agent and take full control of your identity security and privileged access management through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with CyberArk Privilege Cloud through native MCP adapters. Connect 10 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Safe Orchestration — List secure Safes and retrieve intricate settings including retention periods and assigned Central Policy Managers (CPM)
- Privileged Account Management — Enumerate vaulted credentials (Root, Administrator, Service Accounts) and audit rotational statuses and address mappings
- Password Retrieval (Check-out) — Pull actual secrets from the Vault with mandatory audited justifications, allowing the agent to securely retrieve credentials for incident response
- Identity Oversight — List internal and LDAP-mapped directory users and groups to verify PAM logical access architectures and RBAC rules
- Session Control — Forcibly terminate active PSM/PSMP privileged sessions instantly as an active incident response mechanism
- Vault Onboarding — Provision new privileged accounts into secure Safes by mapping them to specific platform IDs for automated rotation lifecycle management
The CyberArk Privilege Cloud MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect CyberArk Privilege Cloud to LangChain via MCP
Follow these steps to integrate the CyberArk Privilege Cloud 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 10 tools from CyberArk Privilege Cloud via MCP
Why Use LangChain with the CyberArk Privilege Cloud MCP Server
LangChain provides unique advantages when paired with CyberArk Privilege Cloud through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine CyberArk Privilege Cloud 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 CyberArk Privilege Cloud queries for multi-turn workflows
CyberArk Privilege Cloud + LangChain Use Cases
Practical scenarios where LangChain combined with the CyberArk Privilege Cloud MCP Server delivers measurable value.
RAG with live data: combine CyberArk Privilege Cloud tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query CyberArk Privilege Cloud, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain CyberArk Privilege Cloud tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every CyberArk Privilege Cloud tool call, measure latency, and optimize your agent's performance
CyberArk Privilege Cloud MCP Tools for LangChain (10)
These 10 tools become available when you connect CyberArk Privilege Cloud to LangChain via MCP:
add_account
Requires precise mapping to an underlying Platform ID (e.g., WinDesktopLocal, UnixSSH) which dictates how CyberArk rotates and verifies the credential moving forward. Provision a new privileged account into a Vault Safe
delete_account
Requires high authorization. Used during system decommissioning so the CPM stops attempting failed password rotations. Delete a privileged account from the CyberArk Vault
get_account
Necessary before rotating or interacting with an account. Get detailed properties for a specific vaulted account
get_safe
Get details and metadata for a specific PAM Safe
list_accounts
These represent highly sensitive credentials (Root, Administrator, Service Accounts). Includes the bounding platform, Safe allocation, address, and rotational status. Use the search string to narrow targets. Search and list privileged accounts vaulted in CyberArk
list_groups
Permissions to Safes are canonically granted to Groups rather than individual users to enforce RBAC best practices. Used to verify PAM logical access architectures. List CyberArk Vault User Groups
list_safes
Safes are the fundamental logical containers separating credentials physically and logically. Required to locate where specific critical tier-0 credentials or local admin passwords reside. List all secure Safes in CyberArk Privileged Access Manager
list_users
Identifies active vault administrators, auditors, and human end-users consuming PSM (Privileged Session Manager) sessions. List all CyberArk users (local and synchronized)
retrieve_password
Highly audited endpoint triggering SIEM alerts. A justification reason is mandatory. After retrieval, exclusive access platforms may lock the credential until check-in or auto-rotation. Retrieve the clear-text password for an account (check-out)
terminate_session
Used as an active incident response mechanism if a SOC analyst or anomalous behavior engine detects unauthorized actions mid-session. Forcibly terminate an active Privileged Session (PSM/PSMP)
Example Prompts for CyberArk Privilege Cloud in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with CyberArk Privilege Cloud immediately.
"List all privileged accounts for address '10.0.0.1'"
"Retrieve password for account 123. Reason: 'Emergency DB maintenance'"
"Terminate active session 'sess_abc'"
Troubleshooting CyberArk Privilege Cloud MCP Server with LangChain
Common issues when connecting CyberArk Privilege Cloud to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCyberArk Privilege Cloud + LangChain FAQ
Common questions about integrating CyberArk Privilege Cloud 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 CyberArk Privilege 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 CyberArk Privilege Cloud to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
