How to Use the TomTom Alternative MCP in AutoGen

Q: How does TomTom Alternative help with fuzzy searching in AutoGen?

An agent can use fuzzysearch to narrow down ambiguous inputs, like a partial address. It presents the top matches, and another agent decides which match is most likely correct for the overall goal.

Q: What kind of data does TomTom Alternative provide for advanced routing in AutoGen?

The calculateadvancedroute tool provides comprehensive pathing options that allow you to set mandatory waypoints or avoid specific geographical areas, enabling complex planning.

Q: Can I get map tiles from TomTom Alternative with AutoGen? (MCP Server)

Yes. The getmaptile tool gives the URL for a raster map tile image. This is helpful when multiple agents are converging on a location and need a visual reference point.

Q: What data does TomTom Alternative touch regarding traffic incidents?

The gettrafficincidents tool accesses real-time traffic incident and flow information. Agents can use this to challenge a proposed route if the current conditions are poor.

Q: What data does TomTom Alternative touch regarding addresses?

This server touches address strings via fuzzysearch and converts them into precise geographical coordinates using the geocode tool. These structured address types are key to all routing functions.

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Setup TomTom Alternative with AutoGen

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Debate Route Options Using MCP Server

You can set up agents to debate the best path. One agent runs `calculate_route` for speed, while another uses `get_traffic_incidents` to flag congestion risks. The third might use `fuzzy_search` to find an alternative destination. The final decision comes from consensus: 'We should take this alternate route because Agent B flagged the main highway.' This is true multi-agent reasoning.

Establish Coordinates for AutoGen Agents

If one agent needs to confirm a location, it calls `geocode`. It gets the coordinates. Then, another agent uses those exact coordinates in `calculate_advanced_route` to plan the journey. The tools facilitate a structured hand-off of data. This sequence proves that complex decision-making is possible when agents share verifiable facts.

Get Map Visuals for AutoGen Agents

Need immediate visual confirmation? An agent can call `get_map_tile` to pull the map URL. This acts as a final, undeniable piece of evidence in the debate. It visually grounds the discussion, showing exactly where the proposed route lies. It helps prevent agents from agreeing on something that doesn't look right on a map.

Setup guide

Set up TomTom Alternative 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 Alternative 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 Alternative_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent TomTom Alternative 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 Alternative_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

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Common questions about TomTom Alternative MCP in AutoGen

An agent can use `fuzzy_search` to narrow down ambiguous inputs, like a partial address. It presents the top matches, and another agent decides which match is most likely correct for the overall goal.

The `calculate_advanced_route` tool provides comprehensive pathing options that allow you to set mandatory waypoints or avoid specific geographical areas, enabling complex planning.

Yes. The `get_map_tile` tool gives the URL for a raster map tile image. This is helpful when multiple agents are converging on a location and need a visual reference point.

The `get_traffic_incidents` tool accesses **real-time traffic incident and flow information**. Agents can use this to challenge a proposed route if the current conditions are poor.

This server touches **address strings** via `fuzzy_search` and converts them into precise geographical coordinates using the `geocode` tool. These structured address types are key to all routing functions.

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