How to Use the Campaign Monitor MCP in AutoGen
Assemble a team of AutoGen agents to debate and manage your Campaign Monitor strategy.
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.
Debate Your Next Campaign Strategy
This server lets you create a team of specialist agents to run your marketing. You can have a 'MarketingAnalyst' agent use `list_campaigns` and `get_campaign_performance` to pull recent results. It then presents its findings to a 'CreativeDirector' agent in the same conversation. They can discuss the results right in the chat. The Director might ask for more details, prompting the Analyst to run another tool. This conversational approach, where agents challenge each other using real data from Campaign Monitor, leads to better decisions than a single agent could make alone.
Collaborative List and Subscriber Tasks
AutoGen's strength is consensus. You can design a workflow where one agent proposes an action and another has to approve it. For instance, a 'UserSupport' agent could suggest adding a new user to a list with `add_subscriber`. A 'Compliance' agent could then automatically trigger, use `get_contact_list` to check that list's properties, and ensure it's the correct one before giving the green light. This MCP Server provides the tools for your agents to not just act, but to act responsibly through discussion.
Run Your Marketing Team with an MCP Server
Think of this as giving each of your AutoGen agents a login to Campaign Monitor. They don't just talk about what to do; they can actually do it. The tools cover the full spectrum: account checks with `get_account_info`, content checks with `list_email_templates`, and list management. Setting this up is straightforward. The `autogen-ext[mcp]` package provides a helper to load the tools directly from your Vinkius MCP endpoint. You just assign the tools to the agents that need them, and they can start using them in their conversations immediately.
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
Use it with your favorite AI tools
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