How to Use the IP Parking MCP in LlamaIndex
Index parking transactions and gate events into LlamaIndex to query real-time PARCS data without hallucinations.
Works with every AI agent you already use
…and any MCP-compatible client
Connect IP Parking MCP to LlamaIndex
Create your Vinkius account to connect IP Parking to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Index PARCS transactions into LlamaIndex
`list_transactions` extracts recent exit logs and revenue records directly into your LlamaIndex document store. The framework converts these raw transaction logs into searchable vector embeddings, allowing your agent to query historical revenue trends using plain English. This semantic search capability means you can ask about specific high-volume periods without writing SQL queries. The agent retrieves the exact records from the index to ground its answers in real data.
Real-time site status indexing via MCP Server
`get_site_status` retrieves current occupancy counts and active session counts for your managed parking facilities. LlamaIndex ingestion pipelines run this tool periodically, keeping your vector database updated with live physical site conditions. When users ask your agent about parking availability, it queries the local vector index instead of hitting the live API every second. This reduces API rate limit usage while maintaining accurate occupancy answers.
Direct hardware state queries
`list_hardware` retrieves the operational status of every ANPR camera, ticket machine, and barrier gate. LlamaIndex uses this data to build a real-time hardware health index, allowing facility managers to ask which physical units require maintenance. The IP Parking MCP Server pairs this status index with `get_system_health` to isolate network-level issues from physical device failures. You get direct answers about hardware uptime without digging through raw server logs.
Set up IP Parking MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all IP Parking MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to IP Parking tools.",
)
response = await agent.run("List recent IP Parking data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by IP Parking. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about IP Parking MCP in LlamaIndex
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