Parknav MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Parknav through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Parknav, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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.
The Vercel AI SDK gives every Parknav tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the Parknav MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 tools from Parknav and passes them to the LLM
Why Use Vercel AI SDK with the Parknav MCP Server
Vercel AI SDK provides unique advantages when paired with Parknav through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Parknav integration everywhere
Built-in streaming UI primitives let you display Parknav tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Parknav + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Parknav MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Parknav in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Parknav tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Parknav capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Parknav through natural language queries
Parknav MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Parknav to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Parknav to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpParknav + Vercel AI SDK FAQ
Common questions about integrating Parknav MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.