How to Use the Freshmarketer MCP in AutoGen

Q: Can my AutoGen team manage Freshmarketer contacts?

They can. Agents negotiate the details before calling upsertcontact, ensuring that the right data is synced to the right list.

Q: How do I prevent AutoGen from sending too many Freshmarketer emails?

You set constraints on the agents, forcing them to verify checkaccountstatus before they are allowed to initiate any communication flow.

Debate your marketing strategy in AutoGen using Freshmarketer tools for consensus-driven campaign automation.

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Connect Freshmarketer MCP to AutoGen

Create your Vinkius account to connect Freshmarketer 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 Freshmarketer with AutoGen

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Perplexity

Debate campaign strategy with agents

Assign one agent to analyze `list_journeys` while another reviews current event triggers via `list_custom_events`. They discuss the data before taking any action. This prevents hasty changes to your marketing setup. The agents debate the impact of a new `post_custom_event` trigger before committing it to your production account.

Negotiate contact management

Your security agent can challenge an update request from a marketing agent. It verifies if the `upsert_contact` action complies with your current data policies. They reach a consensus before the tool is ever called. It provides a layer of human-like oversight for your automated marketing operations.

Execute complex marketing tasks

Coordinate multiple agents to execute a full campaign launch. One agent prepares the mailing list, another verifies status with `check_account_status`, and a third sends the emails. It turns a series of manual steps into a collaborative discussion. Your agents ensure every requirement is met before the final `send_transactional_email` call.

Setup guide

Set up Freshmarketer 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 Freshmarketer 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="Freshmarketer_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

You pass the tool list to your agents, and they decide during their conversation which one to call. They can debate the necessity of using `post_custom_event` for a specific user.

They can. Agents negotiate the details before calling `upsert_contact`, ensuring that the right data is synced to the right list.

Agents share the output of their tool calls within the conversation history. This allows them to build on each other's findings from the API.

You set constraints on the agents, forcing them to verify `check_account_status` before they are allowed to initiate any communication flow.

The server enforces strict input validation for every request. Only authorized agents can access contact lists, and all data transfers are ephemeral, existing only for the duration of the agent session.

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