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Parknav

Parknav MCP Server

parknav.com
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AI-powered predictive parking availability and street occupancy data via Parknav API.

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Parknav
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What is the Parknav MCP Server?

The Parknav MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Parknav via 8 tools. AI-powered predictive parking availability and street occupancy data via Parknav API. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (8)

get_city_insightsget_historical_trendsget_nearest_spotget_parking_zonesget_realtime_occupancyget_street_segmentsoptimize_parking_routepredict_availability

Tools for your AI Agents to operate Parknav

Ask your AI agent "Will I find parking near Union Square at 6 PM?" and get the answer without opening a single dashboard. With 8 tools connected to real Parknav data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

Build your own MCP Server with our secure development framework →

Vinkius works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

Parknav MCP Server capabilities

8 tools
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

What the Parknav MCP Server unlocks

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.

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

How it works

1. Subscribe to this server 2. Enter your Parknav API Key and Base URL 3. Start predicting parking availability from Claude, Cursor, or any MCP-compatible client

Parknav uses deep learning and IoT sensors to provide real-time and predictive data for on-street and off-street parking.

Who is this for?

  • Navigation Apps — Integrate predictive availability into turn-by-turn guidance
  • Smart City Planners — Analyze historical trends to optimize pricing and time limits
  • Fleet & Delivery — Optimize routes based on real-time loading zone availability

Frequently asked questions about the Parknav MCP Server

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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Connect Parknav with your favorite client

Step-by-step setup guides for every MCP-compatible client and framework:

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Anthropic's native desktop app for Claude with built-in MCP support.

CursorIDE

AI-first code editor with integrated LLM-powered coding assistance.

VS Code CopilotIDE

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Give your AI agents the power of Parknav MCP Server

Production-grade Parknav MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.