Compatible with every major AI agent and IDE
Create gateway on Parklio PMS
Requires lot_id, name, and type (e.g., entry_barrier, exit_camera, lpr_reader). Use this when installing new physical hardware. Register a new hardware gateway (barrier, reader) to a parking lot
Get activity logs on Parklio PMS
Optional lot_id filter. Use this for security auditing and operational troubleshooting. View system activity and audit logs
Get lot details on Parklio PMS
Get detailed configuration and statistics for a specific parking lot
Get system status on Parklio PMS
Use this for a high-level operational check. Get the overall health and operational status of the Parklio system
List displays on Parklio PMS
Useful for auditing what drivers see when entering lots. List digital display screens deployed in parking lots
List gateways on Parklio PMS
Use this to audit hardware health and locate offline devices. List all hardware gateways (barriers, cameras) connected to Parklio
List lots on Parklio PMS
Essential for discovering available lots before managing hardware. List all managed parking lots in the Parklio system
Pms login on Parklio PMS
Returns an authentication token valid for subsequent API calls. Use this to refresh your session token before making other requests. Authenticate with the Parklio Parking Management System to get a token
Run gateway operation on Parklio PMS
Common operations: open_barrier, close_barrier, reboot, reset_error. Use this for remote troubleshooting or manual override of barriers. Execute a remote operation on a specific gateway device
Update display message on Parklio PMS
Use for maintenance alerts ("Lot Full", "System Maintenance", "Welcome to VIP Parking"). Update the text shown on a digital display screen in a parking lot
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
Can I audit who opened barriers manually?
Yes! The get_activity_logs tool returns detailed logs of all gateway operations, including the user who performed the action and the timestamp. Essential for security and accountability.
Triggering Parklio PMS via Natural Language
Use Parklio PMS with any AI agent framework to process, analyze, and mutate data securely via the Model Context Protocol.
Managing parking management inside Claude
The Parklio PMS server exposes documented endpoints for parking management. This allows ChatGPT and Cursor to interact with iot hardware APIs seamlessly.
Optimizing hardware control with Claude
Connect Parklio PMS to provide your chatbots with hardware control capabilities. The integration manages the backend execution for iot hardware workflows.
Parklio PMS. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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.
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