How to Use the Mailjet MCP in Google ADK

Q: Can I filter which Mailjet tools the Google ADK agent sees?

Yes. Use the toolnames filter in your McpToolset configuration to restrict access to only the specific tools you want your agent to use.

Q: How do I monitor Mailjet performance from Google ADK?

Call getcampaigndetails to pull specific metrics about your campaigns. Your agent can then log these findings to your existing monitoring stack.

Connect your Google ADK agents to Mailjet for direct email sending and subscriber management.

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Connect Mailjet MCP to Google ADK

Create your Vinkius account to connect Mailjet to Google ADK 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 Mailjet with Google ADK

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Send emails from Google ADK

The `send_transactional_email` tool lets your agent dispatch messages using the Mailjet infrastructure. It maps your agent's intent directly to the API call. This is for when your agent needs to reach a user immediately. You don't need custom SMTP code; just point the agent at the tool and let it handle the request.

Manage marketing lists in Google ADK

Your agent uses `list_subscriber_lists` to find the right segment before adding users via `add_contact_to_list`. It keeps your lists organized based on agent-detected criteria. This works well when your agent is filtering leads from BigQuery and needs to route them into specific Mailjet segments. It keeps the data pipeline flowing.

Extract campaign stats for Google ADK

Retrieve performance data using `get_campaign_performance`. Your agent can then reason over these numbers to decide if a follow-up email is necessary. This gives your agent a feedback loop on its own outreach. It checks the stats, analyzes the results, and updates the strategy automatically.

Setup guide

Set up Mailjet MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Mailjet tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Mailjet_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Mailjet tools via MCP.",
    tools=mcp_tools,
)

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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 Google ADK

You pass the MCP toolset to your LlmAgent. The agent then dynamically selects the right tool for email or list tasks.

Yes. Use the tool_names filter in your McpToolset configuration to restrict access to only the specific tools you want your agent to use.

Yes. The server supports both Stdio and HTTP transports, which you can configure in your McpToolset setup.

Call `get_campaign_details` to pull specific metrics about your campaigns. Your agent can then log these findings to your existing monitoring stack.

The server treats contact records as ephemeral transit data. It does not cache or log your subscriber information during the API call process.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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