How far in advance can Parknav predict availability?

Parknav's AI can typically predict availability up to 24 hours in advance with high confidence, and up to 7 days with moderate confidence.

Does it cover off-street garages too?

Parknav primarily focuses on on-street parking, but also integrates occupancy data from select off-street garages where sensors are available.

What data sources does Parknav use?

Parknav combines IoT sensor data, historical trends, city event data, and weather patterns using deep learning models to generate its predictions.

Parknav MCP Server for Cursor 8 tools — connect in under 2 minutes

Name: Parknav
Availability: InStock
Author: Vinkius

docs.cursor.com/context/model-context-protocol

Built by Vinkius GDPR 8 Tools IDE

Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Parknav and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

{
  "mcpServers": {
    "parknav": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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* 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.

Cursor's Agent mode turns Parknav into an in-editor superpower. Ask Cursor to generate code using live data from Parknav and it fetches, processes, and writes. all in a single agentic loop. 8 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

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 Cursor 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 Cursor via MCP

Follow these steps to integrate the Parknav MCP Server with Cursor.

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

Save the file

Cursor will automatically detect the new MCP server

Start using Parknav

Open Agent mode in chat and ask: "Using Parknav, help me...". 8 tools available

Why Use Cursor with the Parknav MCP Server

Cursor AI Code Editor provides unique advantages when paired with Parknav through the Model Context Protocol.

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

Parknav + Cursor Use Cases

Practical scenarios where Cursor combined with the Parknav MCP Server delivers measurable value.

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

Parknav MCP Tools for Cursor (8)

These 8 tools become available when you connect Parknav to Cursor 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 Cursor

Ready-to-use prompts you can give your Cursor 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 Cursor

Common issues when connecting Parknav to Cursor through the Vinkius, and how to resolve them.

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

Parknav + Cursor FAQ

Common questions about integrating Parknav MCP Server with Cursor.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.