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

Built by Vinkius GDPR 10 Tools Framework

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

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({
        "elastic-email": {
            "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 Elastic Email, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Elastic Email
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 Elastic Email MCP Server

Integrate Elastic Email, the powerful email marketing and delivery platform, directly into your AI workflow. Manage your email campaigns and templates, track contact lists and individual profiles, monitor real-time delivery logs and statuses, and oversee your marketing operations using natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Elastic Email 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 and performance metrics for all your email marketing campaigns.
  • Contact Intelligence — Monitor contact address lists, individual profile details, and subscription statuses across your organization.
  • Delivery Monitoring — Track real-time email delivery logs, identifying success rates and recipient timestamps via chat.
  • Marketing Auditing — Retrieve high-level summaries of list volumes, campaign activity, and account credit balances instantly.

The Elastic Email 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 Elastic Email to LangChain via MCP

Follow these steps to integrate the Elastic Email MCP Server with LangChain.

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from Elastic Email via MCP

Why Use LangChain with the Elastic Email MCP Server

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

01

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

02

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

03

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

04

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

Elastic Email + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Elastic Email MCP Tools for LangChain (10)

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

01

get_campaign_performance

Get detailed performance metrics for a specific email campaign

02

get_contact_profile

Get full profile and history for a specific contact by email

03

get_elastic_email_metadata

Retrieve metadata and usage limits for your Elastic Email account

04

list_contact_address_lists

List all contact lists configured in your account

05

list_delivery_logs

List recent email delivery logs and statuses

06

list_email_designs

List all available email message templates and designs

07

list_marketing_campaigns

List all email marketing campaigns in your Elastic Email account

08

list_marketing_contacts

List all contacts registered in your organization

09

quick_marketing_volume_audit

Retrieve a high-level summary of campaign activity and contact counts

10

search_contacts_by_email

Search for a contact using their email address

Example Prompts for Elastic Email in LangChain

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

01

"List all active marketing campaigns."

02

"Show me the delivery logs for today."

03

"Search for contact 'john.doe@example.com'."

Troubleshooting Elastic Email MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Elastic Email + LangChain FAQ

Common questions about integrating Elastic Email MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Elastic Email to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.