Parknav MCP Server for Claude Code 8 tools — connect in under 2 minutes
Claude Code is Anthropic's agentic CLI for terminal-first development. Add Parknav as an MCP server in one command and Claude Code will discover every tool at runtime. ideal for automation pipelines, CI/CD integration, and headless workflows via Vinkius.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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.
# Your Vinkius token. get it at cloud.vinkius.com
claude mcp add parknav --transport http "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
* 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.
Claude Code registers Parknav as an MCP server in a single terminal command. Once connected, Claude Code discovers all 8 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Parknav data drives decisions without human intervention.
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 Claude Code 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 Claude Code via MCP
Follow these steps to integrate the Parknav MCP Server with Claude Code.
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
Add the MCP Server
Run the command above in your terminal
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
Start using Parknav
Ask Claude: "Using Parknav, show me...". 8 tools are ready
Why Use Claude Code with the Parknav MCP Server
Claude Code provides unique advantages when paired with Parknav through the Model Context Protocol.
Single-command setup: `claude mcp add` registers the server instantly. no config files to edit or applications to restart
Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks
Claude Code runs headlessly, enabling unattended batch processing using Parknav tools in cron jobs or deployment scripts
Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features
Parknav + Claude Code Use Cases
Practical scenarios where Claude Code combined with the Parknav MCP Server delivers measurable value.
CI/CD integration: embed Parknav tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping
Headless batch processing: schedule Claude Code to query Parknav nightly and generate reports without human intervention
Shell scripting: pipe Parknav outputs into other CLI tools for data transformation, filtering, and aggregation
Infrastructure monitoring: run Claude Code in a cron job to query Parknav status endpoints and alert on anomalies
Parknav MCP Tools for Claude Code (8)
These 8 tools become available when you connect Parknav to Claude Code 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 Claude Code
Ready-to-use prompts you can give your Claude Code 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 Claude Code
Common issues when connecting Parknav to Claude Code through the Vinkius, and how to resolve them.
Command not found: claude
npm install -g @anthropic-ai/claude-codeConnection timeout
Parknav + Claude Code FAQ
Common questions about integrating Parknav MCP Server with Claude Code.
How do I add an MCP server to Claude Code?
claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.Can Claude Code run MCP tools in headless mode?
How do I list all connected MCP servers?
claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.Connect Parknav with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Parknav to Claude Code
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.