- SPEED
- DATA
- LOGISTICS
- HUMAN
Short answer
How can I use AI to find better parking for deliveries?
Your AI uses street segment data to find open loading zones and available spaces along your route. It then calculates a path that prioritizes these spots to stop you from circling the block. You get a direct route to an open curb.
The outcomes of optimized routing
Where your routes improve
Once connected, your AI delivers these specific results.
SPEED
Reduced circling time
The AI identifies available spots before you arrive. You spend less time driving in loops looking for a place to pull over.
DATA
Real-time street info
Your agent pulls current segment data to see which zones are actually open. This keeps your route grounded in what is happening on the street right now.
LOGISTICS
Better route planning
The AI prioritizes paths that lead directly to loading zones. This turns a standard GPS route into a delivery-specific plan.
HUMAN
Driver decision support
The AI provides the path, but you decide which specific spot is safest to pull into. You maintain control over the actual vehicle movement.
The workflow
What your AI does when the request arrives.
The AI moves from raw street data to a finished driving plan through these steps.
Map the area
The agent pulls specific data for the streets in your delivery zone.
get_street_segmentsFind open spots
It looks through the segment data to find available loading zones and parking.
get_street_segmentsBuild the path
The AI calculates a route that prioritizes these available spaces.
optimize_parking_routeFinalize route
The agent presents the optimized path for you to follow.
optimize_parking_route
Try it
Copy these to start.
Use these prompts to trigger the Parknav tools.
Starting points
Replace the bracketed text with your specific delivery zone or street names.
Parknav Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_hf5g9sxHOem77wfPhUGwiNF12zw7j7HR2DxE2lwG/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Parknav capabilities are ready to use.
{
"mcpServers": {
"parknav-mcp": {
"url": "https://edge.vinkius.com/vk_preview_hf5g9sxHOem77wfPhUGwiNF12zw7j7HR2DxE2lwG/mcp"
}
}
}Get the street segments for Main St and 5th Ave to see available loading zones.
Optimize a parking route for my delivery on Oak Street using available spaces.
Find all open loading zones near the warehouse on Industrial Way.
Plan a route for my driver that hits the available parking spots on Broadway.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Parknav once, then ask.
One click connects the MCP to your client. Your credentials stay encrypted and the tools are ready to use immediately.
Connect Parknav to your AIFAQ
How this task behaves
- 01
Can the AI drive the vehicle for me?
No. The AI only provides the optimized route and parking data; you are responsible for driving and vehicle control.
- 02
Does the AI update the parking availability in real-time?
Yes, it uses the street segment data to find currently available spaces.
- 03
Can the AI book a parking spot for me?
No. The tools only identify and route to available spaces; they do not handle reservations or payments.
- 04
Will the AI change my vehicle's settings?
No. The AI only interacts with the Parknav data to generate routes.
- 05
Can I use this with any AI client?
Yes, as long as your client is MCP-compatible.
More questions about Parknav? The Connector page answers them. See everything the Parknav Connector can do
Connect Parknav to Claude, Cursor, ChatGPT & more
