How to Use the Campaign Monitor MCP in AutoGen
Let AutoGen agents debate campaign performance and coordinate subscriber updates automatically.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Campaign Monitor MCP to AutoGen
Create your Vinkius account to connect Campaign Monitor 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.
Run AutoGen debates on Campaign Monitor data
Providing the factual foundation for your AutoGen agents to debate Campaign Monitor marketing performance is handled by the `get_campaign_analytics` tool. An AutoGen data analyst agent pulls the raw metrics, while a copywriter agent evaluates if the Campaign Monitor email subject lines caused the drop. They debate the Campaign Monitor results within the AutoGen group chat until they reach a consensus on why a specific campaign underperformed. This MCP-driven AutoGen analysis prevents single-agent bias and leads to better, data-driven Campaign Monitor marketing decisions.
Automate subscriber list management via MCP Server tools
Allowing your AutoGen execution agent to register new users to Campaign Monitor once a validation agent approves the contact info is the core function of the `add_subscriber` tool. In an AutoGen group chat, one agent checks the email format while another verifies the Campaign Monitor list ID before running the tool. This AutoGen multi-agent verification loop ensures that you never push corrupt data to your active Campaign Monitor lists. By separating validation from execution in AutoGen, you keep your Campaign Monitor subscriber database clean without manual supervision.
Coordinate multi-client audits across AutoGen teams
Identifying all active Campaign Monitor accounts under your control is managed by the `list_clients` tool. The coordinator agent then assigns sub-tasks to other AutoGen agents to run `list_subscriber_lists` on Campaign Monitor and report back on list sizes. The AutoGen agents compile these individual Campaign Monitor reports into a single, unified audit summary. AutoGen manages this entire conversation flow, handling the complex handoffs between Campaign Monitor discovery, retrieval, and final reporting.
Set up Campaign Monitor 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes Campaign Monitor tools and returns structured results.
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="Campaign Monitor_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Campaign Monitor data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="Campaign Monitor_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Campaign Monitor data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Campaign Monitor. 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 Campaign Monitor MCP in AutoGen
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