CyberArk Privilege Cloud MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect CyberArk Privilege Cloud through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to CyberArk Privilege Cloud "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in CyberArk Privilege Cloud?"
)
print(result.data)
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.
Pydantic AI validates every CyberArk Privilege Cloud tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the CyberArk Privilege Cloud MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
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 10 tools from CyberArk Privilege Cloud with type-safe schemas
Why Use Pydantic AI with the CyberArk Privilege Cloud MCP Server
Pydantic AI provides unique advantages when paired with CyberArk Privilege Cloud through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your CyberArk Privilege Cloud integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your CyberArk Privilege Cloud connection logic from agent behavior for testable, maintainable code
CyberArk Privilege Cloud + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the CyberArk Privilege Cloud MCP Server delivers measurable value.
Type-safe data pipelines: query CyberArk Privilege Cloud with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple CyberArk Privilege Cloud tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query CyberArk Privilege Cloud and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock CyberArk Privilege Cloud responses and write comprehensive agent tests
CyberArk Privilege Cloud MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect CyberArk Privilege Cloud to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting CyberArk Privilege Cloud to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiCyberArk Privilege Cloud + Pydantic AI FAQ
Common questions about integrating CyberArk Privilege Cloud MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
