How to Use the HyperTrack MCP in AutoGen

Q: How do I register HyperTrack tools with AutoGen using MCP?

Use the MCP tool adapter to convert tools like getworker into a format AutoGen understands. You then pass this tool list directly to your assistant agents during setup.

Q: Do multiple AutoGen agents use the HyperTrack API simultaneously?

Yes, different agents can call gettrip or getdevice as they debate routing decisions. The Vinkius sandbox handles the underlying connection pool to prevent API rate limit issues.

Let your AutoGen agents debate routing options and dispatch trips using this HyperTrack MCP Server.

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Connect HyperTrack MCP to AutoGen

Create your Vinkius account to connect HyperTrack 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.

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Setup HyperTrack with AutoGen

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Resolve dispatch conflicts in AutoGen

The `get_trip` tool delivers real-time progression and ETA data for active delivery runs. Your dispatcher agent feeds this to your customer service agent to negotiate realistic delivery windows. By calling `list_trips`, your coordinator agent gets a bird's-eye view of all active routes. The agents debate which driver should take the next order based on current workloads.

Manage active geofences via AutoGen agents

The `get_geofence` tool reads specific boundary metrics and trigger events. Your security agent uses this data to flag unauthorized stops, while your logistics agent defends the driver's route choice. You run `list_geofences` to let your planning agents review delivery zones. This MCP Server translates the raw coordinates into clean JSON that all agents in the conversation read.

Coordinate active devices with AutoGen

The `get_device` tool retrieves the exact status and location of a specific tracking unit. Your system maintenance agent checks this data to flag low battery levels before a trip starts. Using `list_devices` allows your scheduling agent to see which hardware is online. The agents negotiate assignments based on hardware readiness, keeping your fleet running without human intervention.

Setup guide

Set up HyperTrack 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 HyperTrack 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="HyperTrack_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

Get your connection token →

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="HyperTrack_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

Get your connection token →

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

Use the MCP tool adapter to convert tools like `get_worker` into a format AutoGen understands. You then pass this tool list directly to your assistant agents during setup.

Yes, different agents can call `get_trip` or `get_device` as they debate routing decisions. The Vinkius sandbox handles the underlying connection pool to prevent API rate limit issues.

Your agents use their conversation loop to resolve discrepancies. For example, if `get_order` shows a delay but `get_device` shows the driver is moving, the agents deliberate to update the status.

Yes, the server supports both stdio and Streamable HTTP. You configure the transport layer in your AutoGen agent parameters to match your infrastructure.

Yes, all device coordinates, geofences, and trip tracking histories are processed within an isolated MCP sandbox. Your credentials and telemetry payloads are never exposed to external networks.

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