How to Use the AWeber MCP in AutoGen

Q: Can AutoGen agents modify AWeber subscriber records?

They can use the updatesubscriber tool once consensus is reached. You configure the agents to verify changes before they execute the call.

Debate your AWeber marketing strategy using AutoGen agents.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect AWeber MCP to AutoGen

Create your Vinkius account to connect AWeber 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.

GDPR Free for Subscribers

Setup AWeber with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate AWeber stats in AutoGen

Set up a performance agent and a content agent to discuss your `get_broadcast_stats` results. They challenge each other's interpretations of click-through rates. This deliberation leads to better decision-making for your next campaign. You get a consensus-based approach to your marketing strategy.

Automate AWeber list management in AutoGen

Use a specialized agent to manage your lists via `list_lists` and `find_subscriber`. It negotiates with other agents to ensure your audience data is clean. Your agents handle the cleanup process without you touching the API. It keeps your subscriber segments accurate through internal agent verification.

Execute AWeber campaigns via AutoGen

Trigger automated campaigns using `list_campaigns` as part of your multi-agent workflow. The agents decide if a campaign needs to be launched based on current account metrics. This ensures your marketing actions are backed by agent-driven logic. It removes the guesswork from your campaign scheduling.

Setup guide

Set up AWeber 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 AWeber 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="AWeber_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent AWeber 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 AWeber. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect AWeber now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

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

Common questions about AWeber MCP in AutoGen

You pass the server tools directly into the AssistantAgent constructor. The adapter handles the technical translation between the agent and the API.

They can use the update_subscriber tool once consensus is reached. You configure the agents to verify changes before they execute the call.

The tools are available to all agents in your conversation group. You control which agent has access by defining your team structure.

The system logs every tool call as part of the agent conversation history. You can audit the entire discussion to see why a tool was invoked.

The server acts as a gatekeeper for your personal subscriber identifiers. It limits exposure by providing only the data requested by the active agent.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript