How to Use the Mailjet MCP in AutoGen
Give your AutoGen agents the ability to manage Mailjet campaigns through autonomous debate and consensus.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Mailjet MCP to AutoGen
Create your Vinkius account to connect Mailjet 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.
Multi-Agent Campaign Review in AutoGen
AutoGen thrives on negotiation. You can set up a marketing agent that drafts copy and a compliance agent that checks for brand safety. Before anything goes out, the marketing agent pulls active designs using `list_email_templates` and `get_template_details`. The compliance agent reviews the proposed HTML. If it finds missing unsubscribe links, it rejects the draft. Once both agents agree the content is solid, one of them executes `send_template_email` to push the campaign live.
Autonomous Deliverability Monitoring via MCP
Deliverability requires constant attention. You can assign an AutoGen agent specifically to monitor your infrastructure via this MCP Server. It runs `list_sender_domains` to check authentication status and pulls `get_account_analytics` to watch bounce rates. If the bounce rate spikes, this agent alerts a secondary engineering agent. They debate whether to pause sending or clean the list. If they agree on list cleaning, they use `list_contact_groups` and `list_all_contacts` to isolate the problematic segment.
Intelligent Audience Routing
Lead qualification shouldn't be a static flowchart. A sales agent and a marketing agent can evaluate incoming user data together. They discuss the user's intent and decide where they belong. Once they reach a consensus on the lead score, the action happens immediately. The system calls `create_new_contact` and routes the user into the correct drip campaign via `subscribe_to_list`. The decision is logged in the conversation history.
Set up Mailjet 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 Mailjet 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="Mailjet_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Mailjet 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="Mailjet_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Mailjet 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 Mailjet. 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 Mailjet MCP in AutoGen
Use it with your favorite AI tools
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