How to Use the TomTom Parking Availability MCP in AutoGen

Q: Does AutoGen require a specific setup for TomTom Parking Availability?

You use mcpservertools() to get the tools list. The adapter handles schema conversion, letting you pass the tool definitions directly to your AssistantAgent constructor.

Lets AutoGen agents negotiate optimal TomTom Parking Availability plans through debate.

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Connect TomTom Parking Availability MCP to AutoGen

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Setup TomTom Parking Availability with AutoGen

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Perplexity

MCP Server consensus on search parameters

When using `search_parking_spots`, multiple agents can argue over the best input coordinates or radius. The system converges on a single, optimal set of search criteria. This negotiation process ensures that all necessary constraints are considered before an API call is made.

AutoGen cross-checking TomTom Parking Availability details

Before confirming a park location, the agents use `get_parking_details` to challenge each other's assumptions about capacity or hours. They debate the final availability metadata. The resulting consensus is a decision that has been vetted against multiple perspectives and data points.

Mandatory service status check with AutoGen

A critical agent can run `check_api_status` to ensure the external source is stable. This failure condition triggers a debate among the other agents, forcing them to find an alternative plan. It's built into the system: no decision proceeds without consensus on API reliability.

Setup guide

Set up TomTom Parking Availability 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 includes mcp_server_tools for 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 AssistantAgent and call agent.run(). The agent invokes TomTom Parking Availability tools and returns structured results.

agent.py

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="TomTom Parking Availability_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent TomTom Parking Availability data")
print(result.messages[-1].content)

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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. McpWorkbench is 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=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

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="TomTom Parking Availability_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent TomTom Parking Availability data")
    print(result.messages[-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by TomTom 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 TomTom Parking Availability MCP in AutoGen

AutoGen doesn't just call tools; it makes agents debate their conclusions. The servers are used for deliberation—agents argue over the best search parameters and final availability details.

The system manages location coordinates, real-time availability metadata, and operational status. These are the facts agents debate to reach a single conclusion.

Yes. The framework is designed for this. You can build systems where one agent handles searching, and another debates the final details using `get_parking_details`.

You use `mcp_server_tools()` to get the tools list. The adapter handles schema conversion, letting you pass the tool definitions directly to your AssistantAgent constructor.

This server touches location data and availability metadata. Because multiple agents are debating over these facts, careful role assignment protects sensitive coordinate information.

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