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.

Parknav MCP Server for VS Code Copilot 8 tools — connect in under 2 minutes

Name: Parknav
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 8 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

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Vinkius supports streamable HTTP and SSE.

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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.

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Classic Setup·json

{
  "mcpServers": {
    "parknav": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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* 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.

GitHub Copilot Agent mode brings Parknav data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 8 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

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 VS Code Copilot 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 VS Code Copilot via MCP

Follow these steps to integrate the Parknav MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using Parknav

Ask Copilot: "Using Parknav, help me...". 8 tools available

Why Use VS Code Copilot with the Parknav MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Parknav through the Model Context Protocol.

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Parknav + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Parknav MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Parknav MCP Tools for VS Code Copilot (8)

These 8 tools become available when you connect Parknav to VS Code Copilot 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 VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot 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 VS Code Copilot

Common issues when connecting Parknav to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Parknav + VS Code Copilot FAQ

Common questions about integrating Parknav MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.