How to Use the Moosend (Email Marketing & Automation) MCP in AutoGen
Let AutoGen agents debate and execute your Moosend email marketing campaigns using the Moosend MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Moosend (Email Marketing & Automation) MCP to AutoGen
Create your Vinkius account to connect Moosend (Email Marketing & Automation) 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 multi-agent review loops before sending campaigns
The `create_campaign` tool creates draft emails that your AutoGen agents can inspect and debate. One agent drafts the content, while a compliance agent reviews it against your guidelines. After they reach a consensus, the executing agent calls `send_campaign` to dispatch the email. You prevent embarrassing mistakes by forcing your agents to agree before hitting send.
Manage lists autonomously with an MCP Server
The `add_subscriber` tool lets your database agent sync new leads directly to your marketing lists. Meanwhile, a validation agent checks the email format to keep bounce rates low. If a subscriber requests removal, the validation agent triggers `remove_subscriber` to update your records. This synchronization happens autonomously through agent conversations.
Evaluate performance metrics through agent debates
The `get_campaign_stats` tool provides the raw numbers for your agents to dissect. A strategist agent compares these stats to past runs, while a copywriter agent suggests improvements. They use `list_campaigns` to track long-term trends and decide which list segments need a new strategy. You get actionable marketing insights without manual spreadsheet work.
Set up Moosend (Email Marketing & Automation) 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 Moosend (Email Marketing & Automation) 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="Moosend (Email Marketing & Automation)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Moosend (Email Marketing & Automation) 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="Moosend (Email Marketing & Automation)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Moosend (Email Marketing & Automation) 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 Moosend. 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 Moosend (Email Marketing & Automation) MCP in AutoGen
Use it with your favorite AI tools
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