How do I find my Emma API Keys?

Log in to your Emma account, click on your name in the top right, go to 'Account Settings', and then select 'API Key'. You will find your Account ID, Public Key, and Private Key there.

What is the difference between a group and a segment?

In Emma, a group is a static collection of members you've explicitly added. A segment is a dynamic group based on rules (like 'opened last email'). This server currently focuses on managing static groups.

Can I see my custom member data fields?

Yes! Use the `list_fields` tool to retrieve all standard and custom member data fields defined in your account.

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

Name: Emma
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 Emma through the 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({
        "emma": {
            "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 Emma, 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 Emma MCP Server

Connect your Emma (myemma.com) account to your AI agent and take full control of your email marketing audience and campaigns through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Emma through native MCP adapters. Connect 10 tools via the 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

Member Management — List all mailing list members and get detailed profiles including custom fields.
Group Segments — Retrieve and create audience groups to organize your subscribers effectively.
Mailing History — Access a complete list of sent and scheduled email campaigns (mailings).
Response Analytics — Fetch summary response metrics (opens, clicks) for specific mailings.
Automation & Webhooks — Monitor your automated workflows and active webhooks.
Field Customization — List all custom and standard member data fields defined in your account.

The Emma 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 Emma to LangChain via MCP

Follow these steps to integrate the Emma 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 Emma via MCP

Why Use LangChain with the Emma MCP Server

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

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

Emma + LangChain Use Cases

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

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

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

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

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

Emma MCP Tools for LangChain (10)

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

create_group

Create a new member group

delete_group

Members are not deleted. Delete a member group

get_mailing_stats

) for a specific mailing ID. Get response stats for a mailing

get_member

Get specific member details

list_automations

List email automations

list_fields

List custom member fields

list_groups

List Emma member groups

list_mailings

List sent and scheduled mailings

list_members

List mailing list members

list_webhooks

List active webhooks

Example Prompts for Emma in LangChain

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

"List all my audience groups in Emma."

"Get details for member with email test@example.com."

"What are the response stats for my latest mailing?"

Troubleshooting Emma MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Emma + LangChain FAQ

Common questions about integrating Emma 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.