Parklio PMS MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Parklio PMS through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"parklio-pms": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Parklio PMS Agent",
instructions:
"You help users interact with Parklio PMS " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Parklio PMS?"
);
console.log(result.text);
}
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 Parklio PMS MCP Server
Connect Parklio PMS to any AI agent and take full control of your smart parking infrastructure — manage barrier gates, digital displays, LPR cameras, and monitor hardware health through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Parklio PMS tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Lot Management — List and inspect all parking facilities in your network
- Gateway Control — Monitor barrier and camera status (online/offline)
- Remote Operations — Open/close barriers and reboot devices remotely
- Display Messaging — Update digital signs for maintenance or welcome messages
- Activity Auditing — View logs of all barrier movements and system events
- System Health — Get global operational metrics and uptime stats
The Parklio PMS MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra 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 Parklio PMS to Mastra AI via MCP
Follow these steps to integrate the Parklio PMS MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Parklio PMS via MCP
Why Use Mastra AI with the Parklio PMS MCP Server
Mastra AI provides unique advantages when paired with Parklio PMS through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Parklio PMS without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Parklio PMS tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Parklio PMS + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Parklio PMS MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Parklio PMS, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Parklio PMS as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Parklio PMS on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Parklio PMS tools alongside other MCP servers
Parklio PMS MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Parklio PMS to Mastra AI via MCP:
create_gateway
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
Optional lot_id filter. Use this for security auditing and operational troubleshooting. View system activity and audit logs
get_lot_details
Get detailed configuration and statistics for a specific parking lot
get_system_status
Use this for a high-level operational check. Get the overall health and operational status of the Parklio system
list_displays
Useful for auditing what drivers see when entering lots. List digital display screens deployed in parking lots
list_gateways
Use this to audit hardware health and locate offline devices. List all hardware gateways (barriers, cameras) connected to Parklio
list_lots
Essential for discovering available lots before managing hardware. List all managed parking lots in the Parklio system
pms_login
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
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
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
Example Prompts for Parklio PMS in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Parklio PMS immediately.
"Show me all offline gateways."
"Update display at Lot B to show 'Valet Parking This Way'."
"Reboot the entry barrier at Lot A."
Troubleshooting Parklio PMS MCP Server with Mastra AI
Common issues when connecting Parklio PMS to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpParklio PMS + Mastra AI FAQ
Common questions about integrating Parklio PMS MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Parklio PMS 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.
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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 Parklio PMS to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.