Parknav Connector for AI agents.
8 live capabilities
Find real-time street parking and predictive availability in any city.
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Why people use Parknav
Parknav for Real-Time Urban Parking Data
Parknav replaces that manual headache with a single data stream. Your AI agent can check block-by-block occupancy and predict availability before the user even leaves their house. You get a reliable way to tell your users exactly where to go.
What Vinkius changes
Your AI agent gets live and predictive street data to eliminate the guesswork of urban parking.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Predicting stadium parking
A user asks "Where can I park near the stadium for the game at 8 PM?
- Real-world use case 02
Reducing fleet fuel costs
A delivery company wants to reduce fuel costs.
- Real-world use case 03
Analyzing city congestion
A city planner needs to see which streets are over-capacity.
Complete set · 8capabilities
The complete Parknav capability set.
These are the exact actions your AI can choose when you ask it to work with Parknav.
01—04
4 capabilities in this set.
Part of 8 available through Parknav.
- 01 Capability
Get street segments
Pull the current status of specific street blocks for on-street parking. This gives a granular view of street-level availability.
- 02 Capability
Predict availability
Forecast the likelihood of finding a spot at a specific location and time. Use this to help users plan trips in advance.
- 03 Capability
Get parking zones
Retrieve the specific rules, time limits, and pricing for various parking zones. It ensures users stay compliant with local laws.
- 04 Capability
Get city insights
Provide high-level parking data and trends for an entire city. This is useful for broad urban planning and analytics.
05—08
4 capabilities in this set.
Part of 8 available through Parknav.
- 05 Capability
Get nearest spot
Identify the closest currently available parking space to a set of coordinates. This provides immediate, actionable directions for drivers.
- 06 Capability
Get realtime occupancy
Return the current occupancy percentage for a specific location or area. Use this to check if a block is currently full.
- 07 Capability
Optimize parking route
Find the best sequence of movements to include the most viable parking options. This helps users reach their destination with the least amount of searching.
- 08 Capability
Get historical trends
Deliver past availability patterns to help identify peak and off-peak times. This helps users find the best windows to visit busy areas.
Set up in minutes
One URL. Then ask Parknav to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Parknav from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_hf5g9sxHOem77wfPhUGwiNF12zw7j7HR2DxE2lwG/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Parknav, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Parknav for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_hf5g9sxHOem77wfPhUGwiNF12zw7j7HR2DxE2lwG/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Parknav URL.
- Step 03
Save and start
Save the connection and enable Parknav in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"parknav": {
"url": "https://edge.vinkius.com/vk_preview_hf5g9sxHOem77wfPhUGwiNF12zw7j7HR2DxE2lwG/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Parknav
Open Agent mode in chat and ask: "Using Parknav, help me...". 8 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"parknav": {
"url": "https://edge.vinkius.com/vk_preview_hf5g9sxHOem77wfPhUGwiNF12zw7j7HR2DxE2lwG/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Parknav
Ask Copilot: "Using Parknav, help me...". 8 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"parknav": {
"url": "https://edge.vinkius.com/vk_preview_hf5g9sxHOem77wfPhUGwiNF12zw7j7HR2DxE2lwG/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Parknav
Open Cascade and ask: "Using Parknav, help me...". 8 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"parknav": {
"url": "https://edge.vinkius.com/vk_preview_hf5g9sxHOem77wfPhUGwiNF12zw7j7HR2DxE2lwG/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Parknav
Ask Cline: "Using Parknav, help me...". 8 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add parknav --transport http "https://edge.vinkius.com/vk_preview_hf5g9sxHOem77wfPhUGwiNF12zw7j7HR2DxE2lwG/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Parknav
Ask Claude: "Using Parknav, show me...". 8 tools are ready
Where the request belongs
Work Parknav can move forward.
This is for developers and operations leads who need to solve the 'last mile' of navigation. It's for the person tired of users complaining about full lots and the fleet manager trying to cut down on wasted fuel.
Navigation App Developers
They use this to add predictive parking features to turn-by-turn guidance without building a massive data infrastructure.
Urban Mobility Planners
They analyze historical trends to adjust city pricing and manage traffic flow in high-density zones.
Fleet Managers
They optimize delivery routes by knowing which zones have open loading spots before sending a driver there.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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SafeGraph
Integrate SafeGraph's premier geospatial dataset into your AI. Discover detailed POIs, analyze foot traffic patterns, and process precise building geometries seamlessly from conversational prompts.
TomTom Parking Availability
Search parking spots. audit locations and availability via AI.
Parkopedia
Global parking search, EV charging, and restrictions data via Parkopedia API.
Bring your own AI
Change the model, client or framework. Keep Parknav connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Parknav.
The practical details behind the request, access and result.
Can Parknav MCP help my navigation app show parking?
Yes, it allows your app to provide real-time parking availability and predictive data directly to your users, helping them find spots faster.
Does Parknav MCP provide real-time street data?
It provides live occupancy rates for street segments, letting your agent see exactly how full a block is at any given moment.
How does Parknav MCP predict parking availability?
It uses historical patterns and real-time data to forecast the likelihood of finding a spot at a specific location and time.
Can I use Parknav MCP to find the closest parking spot?
Yes, your agent can identify the nearest currently available parking space to any set of coordinates and provide directions.
Does Parknav MCP include pricing for parking zones?
It provides the specific rules, time limits, and pricing for various parking zones so your users can stay compliant and informed.
Can Parknav MCP help with delivery route optimization?
Absolutely. Fleet managers can use it to identify blocks with open loading spots and optimize routes to reduce wasted time and fuel.
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.
One connection away
Give your agent a direct line to Parknav.
Connect Parknav once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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