How to Use the Amplifier MCP in AutoGen

Deploy debating AutoGen agents that manage e-commerce fulfillment and inventory via the Amplifier MCP Server.

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Connect Amplifier MCP to AutoGen

Create your Vinkius account to connect Amplifier 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 Amplifier with AutoGen

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Perplexity

Multi-agent fulfillment consensus

E-commerce operations often require balancing speed against cost. You can build an AutoGen setup where a logistics agent and a finance agent debate the best shipping method before calling `create_order`. The logistics agent pulls data using `get_shipment_report` to analyze past delays. Meanwhile, the finance agent reviews the order margins. They argue until they reach a consensus, ensuring the final tool call makes business sense.

Connect AutoGen to the Amplifier MCP Server

Giving conversational agents access to live fulfillment data fixes blind spots in your supply chain. An inventory agent monitors stock levels by executing `get_inventory_report` on a schedule. If stock drops below a threshold, it pings a purchasing agent. The two bots discuss whether to reorder immediately or wait for a bulk discount, eventually triggering `get_item_details` to verify vendor minimums before acting.

Automated order auditing

Customer support disputes require gathering facts from multiple systems. You can assign an investigator agent to run `get_order_details` and `list_orders` to build a timeline of events. A separate compliance agent reviews the investigator's findings. The bots exchange messages, challenge discrepancies in the shipping address, and draft a final resolution report without human intervention.

Setup guide

Set up Amplifier 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 Amplifier 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="Amplifier_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent Amplifier 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 Amplifier. 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 Amplifier MCP in AutoGen

Install the autogen-ext package and use the MCP server tools function with your Vinkius HTTP endpoint. Pass the resulting tool list directly into your AssistantAgent constructor.

You only need to initialize the MCP client once. You can distribute specific tools like `list_items` or `create_order` to different specialized agents within your conversation group.

The adapter automatically translates the server's OpenAPI definitions into a format the LLM understands. Your agents know exactly what parameters to pass when checking inventory.

That depends on your configuration. You can set the agent's human-in-the-loop policy to require manual approval before it actually fires the `create_order` command.

Vinkius processes all tool calls in an ephemeral V8 sandbox. The raw inventory counts and customer purchase histories accessed by your agents exist in a zero-trust environment that terminates immediately after the task.

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