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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Parknav with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. AI-powered predictive parking availability and street occupancy data via Parknav API.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 8 capabilities

The complete Parknav capability set.

These are the exact actions your AI can choose when you ask it to work with Parknav.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 8 available through Parknav.

  1. 01

    Get city insights

    Get high-level parking insights for a specific city

  2. 02

    Get parking zones

    Get regulations and pricing for parking zones

  3. 03

    Get realtime occupancy

    Get current real-time occupancy for a location

  4. 04

    Get street segments

    Get status of street segments for on-street parking

Capability set02 / 02

05-08

4 capabilities in this set.

Part of 8 available through Parknav.

  1. 05

    Predict availability

    Essential for planning trips in advance. Get AI-predicted parking availability for a location at a specific time

  2. 06

    Get nearest spot

    Find the nearest currently available parking spot

  3. 07

    Optimize parking route

    Optimize a route to include the best parking options

  4. 08

    Get historical trends

    Get historical availability trends for a location

Observed, not estimated

852ms average. Fast in production.

Parknav is checked daily against the live service.

Daily averagePeak 1153ms
Aug 20Today
Fastest day
719ms
Slowest day
1153ms
14-day trend
Slowing+11%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 8 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Parknav, so you can see the experience inside your AI.

It does not authenticate your account with Parknav. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Parknav Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_hf5g9sxHOem77wfPhUGwiNF12zw7j7HR2DxE2lwG/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Parknav capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "parknav-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_hf5g9sxHOem77wfPhUGwiNF12zw7j7HR2DxE2lwG/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Parknav owners ask.

  • 01

    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.

  • 02

    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.

  • 03

    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.

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