How to Use the Mautic MCP in AutoGen

Q: Can AutoGen agents analyze Mautic email templates?

Yes. An agent can call listemails to retrieve available templates and getemail to read the specific content, allowing your agent team to review copy and suggest improvements based on performance.

Let AutoGen agents debate and coordinate your Mautic contact segmentation and campaign management.

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Connect Mautic MCP to AutoGen

Create your Vinkius account to connect Mautic 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 Mautic with AutoGen

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Get AutoGen agents to reach consensus on Mautic changes

AutoGen lets you set up specialized agents that debate Mautic contact updates before writing to the database. For example, a data hygiene agent flags a record retrieved via `get_contact`, while a marketing agent wants to run `add_contact_to_segment`. This consensus-driven AutoGen workflow prevents duplicate records and accidental segment spamming. The agents verify company data using `list_companies` and `get_company` before the creation agent triggers `create_contact`.

Coordinate complex Mautic campaigns across AutoGen agents

Split marketing tasks between specialized AutoGen agents to manage your Mautic campaigns. One agent monitors active sequences using `list_campaigns` and `get_campaign`, while another analyzes email templates by calling `list_emails` and `get_email`. The agents converse to optimize your outreach strategy, ensuring your AutoGen team stays aligned. They coordinate to shift underperforming contacts into new segments, using `list_segments` to find the best fit.

Automate Mautic list hygiene with AutoGen conversational teams

Keep your Mautic database clean by deploying an AutoGen team where agents collaborate on list maintenance. One agent searches for inactive leads using `list_contacts` and another cross-references them against active email templates. This conversational auditing process minimizes human errors in your Mautic database. The AutoGen agents safely execute cleanup tasks, keeping your marketing resources focused on active, high-value prospects.

Setup guide

Set up Mautic 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 Mautic 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="Mautic_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Pass your Vinkius server URL to StreamableHttpServerParams and use mcp_server_tools to fetch the tools. You can then pass this list directly to your AutoGen AssistantAgent constructor, which automatically handles the schema conversion.

Yes. AutoGen agents can share the same tool definitions, allowing a data analyst agent to run list_contacts while a campaign coordinator agent triggers get_campaign in the same conversational session.

The agents debate the updates in their chat history. Once they reach a consensus on the correct data payload, a designated agent executes the change using create_contact or add_contact_to_segment to update the database.

Yes. An agent can call list_emails to retrieve available templates and get_email to read the specific content, allowing your agent team to review copy and suggest improvements based on performance.

Yes. The MCP server runs inside a secure, zero-trust V8 Isolate sandbox on Vinkius. Your AutoGen agents only access the specific contact, segment, and campaign data returned by the tools, keeping your underlying API credentials completely hidden.

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