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How to Use the Hologram.io MCP in AutoGen

Debate your IoT infrastructure strategy using AutoGen multi-agent systems and Hologram.io.

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AutoGen

Connect Hologram.io MCP to AutoGen

Create your Vinkius account to connect Hologram.io 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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Negotiate connectivity states with multi-agent consensus

Assign one agent to monitor usage via `get_billing_cycle_usage` while another evaluates device security. These agents debate whether to execute `pause_sim_data` based on their competing priorities. This ensures that critical devices aren't accidentally taken offline during a routine cleanup. You get a system that balances cost control against operational uptime.

Automated fleet auditing via agent deliberation

Let your agents cross-reference `list_sim_cards` with device performance logs to identify misconfigured hardware. The agents discuss these discrepancies until they reach a conclusion on the necessary fix. This process eliminates the need for manual review of every SIM status. You build a system where the agents verify each other's findings before taking action on your fleet.

Streamline cellular management through debate

Use `list_available_data_plans` to feed your agents the options for upgrading or changing your cellular coverage. The agents deliberate on the most cost-effective plan for your current usage patterns. This prevents hasty decisions about your cellular infrastructure. The agents converge on a recommendation that aligns with your specific operational requirements.

Setup guide

Set up Hologram.io MCP in AutoGen

Prerequisites

  • Python 3.10+ installed
  • autogen-ext[mcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 3

    Run your agent

    Pass the tools to AssistantAgent and call agent.run(). The agent invokes Hologram.io 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="Hologram.io_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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Single dashboard

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Hologram.io MCP in AutoGen

You use the mcp-server-tools adapter to register the Hologram.io endpoints. These tools then become available for any AssistantAgent in your conversation loop.
Yes. That is the point of the framework. Agents check for risks like accidental disconnects and negotiate the final decision before calling any destructive tools.
The server is compatible with standard AutoGen tool adapters. Multiple agents share access to the same tools to deliberate on fleet management tasks.
Each agent reports its tool calls and reasoning in the conversation logs. You can review the debate history to see why an agent chose a specific SIM action.
Your cellular records are processed only by the agents you authorize. All interaction occurs within your controlled execution environment, keeping your device data isolated and protected.

Start using the Hologram.io MCP today

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