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How to Use the Mailjet MCP in LangChain

Chain Mailjet's delivery API directly into your LangChain agents for automated email routing and list management.

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…and any MCP-compatible client

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LangChain

Connect Mailjet MCP to LangChain

Create your Vinkius account to connect Mailjet to LangChain 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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Sequential Email Operations in LangChain

Your ReAct agent can execute `create_new_contact` and immediately chain the output into list assignment. It grabs user data, fires off the first request, and passes the resulting ID directly into `add_contact_to_list`. No manual sync required. LangSmith tracks every step of this pipeline. You see the exact payload sent to `send_transactional_email` and how long the API took to respond. If a step fails, the agent reads the error and retries with corrected JSON.

Fetch and Evaluate Campaign Data

Feed campaign performance directly into your reporting pipelines by executing `list_marketing_campaigns`. The agent grabs active campaign IDs, then maps those into `get_campaign_performance` to pull open rates and click data. You do not have to write custom polling loops. The MCP Server handles the REST abstraction while your LangChain setup decides what to do with the metrics. Route bad numbers to Slack or trigger a follow-up sequence based on the results.

Autonomous Subscriber Sync via MCP Server

Keep your CRM and Mailjet lists identical by letting your agent run `list_all_contacts` via the MCP Server. It compares the raw output against your internal database to spot missing users. When it finds a discrepancy, it calls `list_subscriber_lists` to find the correct segment. It then executes the updates autonomously. You just set the rules in your LangGraph nodes and let the system run.

Setup guide

Set up Mailjet MCP in LangChain

Prerequisites

  • Python 3.10+ installed
  • langchain-mcp-adapters + langgraph packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.

  2. 2

    Connect via HTTP transport

    Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create a ReAct agent

    Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Mailjet tool calls through the MCP protocol.

  4. 4

    Run with any LLM

    Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "mailjet-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Mailjet transactions"
    })
    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.

Why Choose Vinkius

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Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Mailjet MCP in LangChain

Install `langchain-mcp-adapters`. Initialize a `MultiServerMCPClient` pointing to the Vinkius endpoint, then pass `client.get_tools()` to your agent constructor.
Yes. The agent formats a v3.1 Send API payload and executes `send_transactional_email`. You define the trigger conditions in your chain logic.
It logs every interaction. You get full visibility into the arguments passed to `add_contact_to_list` and the exact latency of the HTTP request.
ReAct agents read the error string returned by the tool. If an email address is malformed, the agent parses the rejection and tries a fallback address.
When your agent queries email addresses via `list_all_contacts`, the data passes straight to your client. The Vinkius sandbox operates in an ephemeral V8 isolate. We store zero payload history.

Start using the Mailjet MCP today

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Built & Managed by Vinkius 30s setup 8 tools

We've already built the connector for Mailjet. Just plug in your AI agents and start using Vinkius.

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