SpotHero Parking MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add SpotHero Parking as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to SpotHero Parking. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in SpotHero Parking?"
)
print(response)
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 SpotHero Parking MCP Server
Connect SpotHero to any AI agent and simplify urban mobility — search parking by location, compare prices, book reservations, and manage vehicle details through natural conversation.
LlamaIndex agents combine SpotHero Parking tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Spot Search — Find available parking spots by coordinates and time range
- Dynamic Pricing — Compare rates and get real-time pricing for specific durations
- Instant Booking — Create reservations instantly with vehicle info and payment method
- Reservation Management — View, update vehicle details, or cancel existing bookings
- Event Awareness — Discover nearby events that might impact parking availability
- Garage Details — Access garage amenities, hours, and contact info
The SpotHero Parking MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex 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 SpotHero Parking to LlamaIndex via MCP
Follow these steps to integrate the SpotHero Parking MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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 SpotHero Parking
Why Use LlamaIndex with the SpotHero Parking MCP Server
LlamaIndex provides unique advantages when paired with SpotHero Parking through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine SpotHero Parking tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain SpotHero Parking tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query SpotHero Parking, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what SpotHero Parking tools were called, what data was returned, and how it influenced the final answer
SpotHero Parking + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the SpotHero Parking MCP Server delivers measurable value.
Hybrid search: combine SpotHero Parking real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query SpotHero Parking to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying SpotHero Parking for fresh data
Analytical workflows: chain SpotHero Parking queries with LlamaIndex's data connectors to build multi-source analytical reports
SpotHero Parking MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect SpotHero Parking to LlamaIndex via MCP:
book_parking
Requires spot ID, start/end times, payment method ID, and vehicle info (make, model, plate, color). Book a parking spot and create a reservation
cancel_reservation
Check cancellation policy for refund eligibility. Cancel an active parking reservation
get_garage_details
Get information about a specific garage
get_pricing
Useful for comparing rates before booking. Get dynamic pricing for a parking spot for a specific duration
get_reservation
Get details of a specific parking reservation
get_spot_details
Get detailed information and pricing for a specific parking spot
list_reservations
Optional status filter (upcoming, past, cancelled). List all parking reservations for the authenticated account
search_events
Useful for anticipating demand. Search for nearby events that might affect parking availability or pricing
search_parking
Use this to find parking options for users. Times must be in ISO 8601 format. Search for available parking spots near a location for a specific time range
update_vehicle_info
Use this if the user changes cars before parking. Update vehicle information for an existing reservation
Example Prompts for SpotHero Parking in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with SpotHero Parking immediately.
"Find parking near Times Square for 2 hours starting now."
"Book spot 12345 from 9 AM to 5 PM tomorrow."
"What events are happening downtown tonight?"
Troubleshooting SpotHero Parking MCP Server with LlamaIndex
Common issues when connecting SpotHero Parking to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSpotHero Parking + LlamaIndex FAQ
Common questions about integrating SpotHero Parking MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect SpotHero Parking 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.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 SpotHero Parking to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.