Mailjet MCP Server for LangChainGive LangChain instant access to 12 tools to Create New Contact, Get Account Analytics, Get Campaign Performance, and more

Name: Mailjet
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Mailjet through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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The Mailjet MCP Server for LangChain is a standout in the Marketing Automation category — giving your AI agent 12 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "mailjet-alternative": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Mailjet, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Mailjet MCP Server

Connect your Mailjet account to any AI agent and manage email operations through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Mailjet through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Email Sending — Send transactional and marketing emails at scale
Contact Management — Manage contact lists with properties and segmentation
Template Management — Browse, create, and manage email templates
Delivery Analytics — Track opens, clicks, bounces, and spam reports
Campaign Management — Create and monitor email campaigns
Statistics — Access detailed sending statistics and trends

The Mailjet MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Mailjet tools available for LangChain

When LangChain connects to Mailjet through Vinkius, your AI agent gets direct access to every tool listed below — spanning transactional-email, contact-management, template-builder, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create new contact on Mailjet

Add email to contacts

get

Get account analytics on Mailjet

Check account stats

get

Get campaign performance on Mailjet

) for a specific campaign ID. Check campaign stats

get

Get template details on Mailjet

Get template content

list

List all contacts on Mailjet

List audience contacts

list

List contact groups on Mailjet

List contact lists

list

List email templates on Mailjet

List saved templates

list

List sender domains on Mailjet

Check sending domains

list

List sent campaigns on Mailjet

List past campaigns

send

Send plain email on Mailjet

Send transactional email

send

Send template email on Mailjet

Send using template

Subscribe to list on Mailjet

Add contact to list

Connect Mailjet to LangChain via MCP

Follow these steps to wire Mailjet into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 12 tools from Mailjet via MCP

Why Use LangChain with the Mailjet MCP Server

LangChain provides unique advantages when paired with Mailjet through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Mailjet MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Mailjet queries for multi-turn workflows

Mailjet + LangChain Use Cases

Practical scenarios where LangChain combined with the Mailjet MCP Server delivers measurable value.

RAG with live data: combine Mailjet tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Mailjet, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Mailjet tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Mailjet tool call, measure latency, and optimize your agent's performance

Example Prompts for Mailjet in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Mailjet immediately.

"Show sending statistics and contact list summary."

"List email templates and send a transactional email."

"Show campaign performance and bounce analysis."

Troubleshooting Mailjet MCP Server with LangChain

Common issues when connecting Mailjet to LangChain through Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Mailjet + LangChain FAQ

Common questions about integrating Mailjet MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.