Parknav MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Parknav 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: {
"parknav": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Parknav Agent",
instructions:
"You help users interact with Parknav " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Parknav?"
);
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 Parknav MCP Server
Connect Parknav to any AI agent and access the world's most advanced predictive parking intelligence — anticipate availability before you arrive, find on-street spots instantly, and optimize your urban mobility.
Mastra's agent abstraction provides a clean separation between LLM logic and Parknav tool infrastructure. Connect 8 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
- Predictive Availability — Get AI forecasts for finding a spot at a specific future time
- Real-Time Occupancy — Check current block-by-block occupancy rates
- Nearest Spot Finder — Get directed to the nearest currently open space
- Street Segments — View live status of specific street blocks
- Zone Regulations — Access parking rules, time limits, and pricing
- Historical Trends — Analyze availability patterns by time of day and day of week
- Route Optimization — Plan routes that minimize parking search time
The Parknav MCP Server exposes 8 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 Parknav to Mastra AI via MCP
Follow these steps to integrate the Parknav 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 8 tools from Parknav via MCP
Why Use Mastra AI with the Parknav MCP Server
Mastra AI provides unique advantages when paired with Parknav through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Parknav 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 Parknav 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
Parknav + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Parknav MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Parknav, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Parknav as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Parknav on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Parknav tools alongside other MCP servers
Parknav MCP Tools for Mastra AI (8)
These 8 tools become available when you connect Parknav to Mastra AI via MCP:
get_city_insights
Get high-level parking insights for a specific city
get_historical_trends
Get historical availability trends for a location
get_nearest_spot
Find the nearest currently available parking spot
get_parking_zones
Get regulations and pricing for parking zones
get_realtime_occupancy
Get current real-time occupancy for a location
get_street_segments
Get status of street segments for on-street parking
optimize_parking_route
Optimize a route to include the best parking options
predict_availability
Essential for planning trips in advance. Get AI-predicted parking availability for a location at a specific time
Example Prompts for Parknav in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Parknav immediately.
"Will I find parking near Union Square at 6 PM?"
"Where is the nearest open spot to me right now?"
"Show me the occupancy trends for Market Street."
Troubleshooting Parknav MCP Server with Mastra AI
Common issues when connecting Parknav to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpParknav + Mastra AI FAQ
Common questions about integrating Parknav 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 Parknav 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 Parknav to Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.