How do I get Emarsys API credentials?

Log in to your Emarsys account, navigate to **Admin > Web Services**, and you can create or retrieve your **API Username** and **Secret Key**. Ensure the user has the required permissions for the resources you wish to access.

What authentication method does this integration use?

This integration uses **W-SSE authentication**, which is the standard for the Emarsys API. It requires both your API Username and Secret Key to securely generate request headers.

Can the agent trigger automation programs?

This integration currently focuses on listing and auditing programs and events. Triggering specific automation workflows should be managed via external events in the Emarsys dashboard or dedicated transactional API calls.

Emarsys MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Emarsys
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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({
        "emarsys": {
            "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 Emarsys, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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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 Emarsys MCP Server

Integrate Emarsys, the comprehensive customer engagement platform, directly into your AI workflow. Manage your email marketing campaigns and contact lists, track audience segments and automation programs, monitor trigger events and registration forms, and oversee your omnichannel engagement using natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Emarsys through native MCP adapters. Connect 10 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

Campaign Oversight — List and retrieve detailed information, subject lines, and launch statuses for all your email campaigns.
Contact Intelligence — Monitor marketing contact lists and audience segments, resolving structural details and filter criteria.
Automation Management — Access and monitor automation programs and workflows, tracking active statuses and trigger events.
Engagement Auditing — Retrieve high-level summaries of campaign volume, list activity, and organizational marketing health instantly.

The Emarsys MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Emarsys to LangChain via MCP

Follow these steps to integrate the Emarsys MCP Server with LangChain.

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 10 tools from Emarsys via MCP

Why Use LangChain with the Emarsys MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Emarsys 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 Emarsys queries for multi-turn workflows

Emarsys + LangChain Use Cases

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

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

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

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

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

Emarsys MCP Tools for LangChain (10)

These 10 tools become available when you connect Emarsys to LangChain via MCP:

get_campaign_details

Get detailed settings and status for a specific email campaign

get_contact_list_details

Get detailed settings for a specific contact list

get_emarsys_account_metadata

Retrieve metadata and settings for your Emarsys account

list_audience_segments

List all audience segments (filters) in your account

list_automation_programs

List all automation programs and workflows

list_email_campaigns

List all email campaigns in your Emarsys account

list_marketing_contact_lists

List all contact lists configured in your organization

list_registration_forms

List all subscription and registration forms

list_trigger_events

List all external events used for triggering automation programs

quick_engagement_volume_audit

Retrieve a high-level summary of campaigns, lists, and automation programs

Example Prompts for Emarsys in LangChain

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

"List all active email campaigns."

"Show me the audience segments in my account."

"What automation programs are currently running?"

Troubleshooting Emarsys MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Emarsys + LangChain FAQ

Common questions about integrating Emarsys 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.