Parkopedia MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Parkopedia through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Parkopedia "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Parkopedia?"
)
print(result.data)
asyncio.run(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 Parkopedia MCP Server
Connect Parkopedia to any AI agent and access the world's most comprehensive parking data — on-street spots, off-street garages, EV charging stations, and real-time restrictions.
Pydantic AI validates every Parkopedia tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Global Search — Find parking spots in 75+ countries via coordinates or bounding box
- EV Charging — Locate chargers, check connector types, and get operator details
- Restrictions — View legal parking limits, time restrictions, and resident-only zones
- Pricing Data — Access structured pricing from 12,000+ operator feeds
- Occupancy — Get real-time availability where supported
- Amenities — Find covered parking, restrooms, and valet services nearby
- Analytics — Access trends and historical data for location intelligence
The Parkopedia MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI 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 Parkopedia to Pydantic AI via MCP
Follow these steps to integrate the Parkopedia MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Parkopedia with type-safe schemas
Why Use Pydantic AI with the Parkopedia MCP Server
Pydantic AI provides unique advantages when paired with Parkopedia through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Parkopedia integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Parkopedia connection logic from agent behavior for testable, maintainable code
Parkopedia + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Parkopedia MCP Server delivers measurable value.
Type-safe data pipelines: query Parkopedia with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Parkopedia tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Parkopedia and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Parkopedia responses and write comprehensive agent tests
Parkopedia MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Parkopedia to Pydantic AI via MCP:
get_analytics
Get parking analytics and trends for a location
get_ev_charger_details
Get detailed information about an EV charger
get_occupancy
Get real-time occupancy status for a spot
get_parking_restrictions
Get parking restrictions for a specific location
get_pricing
Get pricing data for a specific spot
get_spot_details
Get detailed information about a specific parking spot
search_amenities
Search for nearby amenities related to parking
search_by_bounds
Search for parking spots within a geographic bounding box
search_ev_charging
Search for EV charging stations near a location
search_parking
Search for parking spots near a location
Example Prompts for Parkopedia in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Parkopedia immediately.
"Find EV chargers near Central Park."
"Are there parking restrictions on 5th Ave right now?"
"What is the occupancy at the Times Square garage?"
Troubleshooting Parkopedia MCP Server with Pydantic AI
Common issues when connecting Parkopedia to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiParkopedia + Pydantic AI FAQ
Common questions about integrating Parkopedia MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Parkopedia 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 Parkopedia to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.