How to Use the IP Parking MCP in AutoGen
Let AutoGen agents debate parking tariffs and gate controls to run autonomous, error-free parking facilities.
Works with every AI agent you already use
…and any MCP-compatible client
Connect IP Parking MCP to AutoGen
Create your Vinkius account to connect IP Parking to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Multi-agent tariff debates with AutoGen
`update_tariff` modifies the active pricing rules across your parking facilities when occupancy patterns shift. In AutoGen, a pricing agent proposes a rate hike while a customer-experience agent analyzes historical transaction trends to debate the impact. They reach a consensus on the optimal rate before executing the change. This prevents sudden, extreme price surges that might drive customers away from your locations.
Autonomous gate safety checks via MCP Server
`control_gate` triggers physical barrier operations based on instructions from your conversational agent loop. Before opening a barrier, the AutoGen safety agent calls `get_system_health` to verify that the communication channel is clear. If the channel reports latency, the security agent halts the command and alerts a human operator. This multi-agent verification loop keeps physical entry and exit points safe from command collisions.
Automated ANPR registration override
`register_anpr` forces a license plate recognition event into the system to handle unreadable plates. When a driver gets stuck, the agent group checks `list_hardware` to see if the camera is dirty, then registers the plate manually to lift the gate. This IP Parking MCP Server tool handles physical exceptions without requiring human intervention for every minor camera error. The agents work together to keep traffic flowing through the exit lanes.
Set up IP Parking MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes IP Parking tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="IP Parking_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent IP Parking data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="IP Parking_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent IP Parking data")
print(result.messages[-1].content) 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 AutoGen
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