Listmonk MCP Server for LangChainGive LangChain instant access to 28 tools to Create Campaign, Create List, Create Public Subscription, and more

Name: Listmonk
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 Listmonk 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 Listmonk MCP Server for LangChain is a standout in the Marketing Automation category — giving your AI agent 28 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({
        "listmonk": {
            "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 Listmonk, 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 Listmonk MCP Server

Connect your Listmonk instance to any AI agent and take full control of your email marketing workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Listmonk through native MCP adapters. Connect 28 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

Subscriber Management — List, create, update, or delete subscribers using SQL-like queries for precise filtering via list_subscribers and create_subscriber.
List Organization — Manage your mailing lists and public subscriptions to keep your audience segmented using list_lists and create_list.
Campaign Control — Create, monitor, and update the status of your email campaigns from draft to sent with create_campaign and update_campaign_status.
Transactional Emails — Send high-priority transactional messages instantly via the send_transactional tool.
Media & Templates — Manage your asset library and email templates without leaving your chat interface using list_templates and list_media.

The Listmonk MCP Server exposes 28 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 28 Listmonk tools available for LangChain

When LangChain connects to Listmonk through Vinkius, your AI agent gets direct access to every tool listed below — spanning newsletter-management, mailing-lists, subscriber-management, 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 campaign on Listmonk

Create a new campaign

create

Create list on Listmonk

Create a new list

create

Create public subscription on Listmonk

Create a public subscription

create

Create subscriber on Listmonk

Create a new subscriber

create

Create template on Listmonk

Create a template

delete

Delete bounces on Listmonk

Delete multiple bounce records

delete

Delete campaign on Listmonk

Delete a campaign

delete

Delete list on Listmonk

Delete a list

delete

Delete media on Listmonk

Delete a media file

delete

Delete subscriber on Listmonk

Delete a specific subscriber

delete

Delete template on Listmonk

Delete a template

get

Get campaign on Listmonk

Retrieve a specific campaign

get

Get import status on Listmonk

Retrieve import status

get

Get subscriber on Listmonk

Retrieve a specific subscriber

list

List bounces on Listmonk

Retrieve bounce records

list

List campaigns on Listmonk

Retrieve all campaigns

list

List lists on Listmonk

Retrieve all lists

list

List media on Listmonk

Get uploaded media files

list

List public lists on Listmonk

Retrieve public lists

list

List subscribers on Listmonk

Supports pagination, list filtering, and SQL expression search. Query and retrieve subscribers

list

List templates on Listmonk

Retrieve all templates

patch

Patch subscriber on Listmonk

Partially update a subscriber

send

Send transactional message on Listmonk

Send transactional messages to one or more subscribers using a template

stop

Stop import on Listmonk

Stop an ongoing import

update

Update campaign status on Listmonk

Change campaign status

update

Update list on Listmonk

Update a list

update

Update subscriber on Listmonk

Update a specific subscriber

update

Update template on Listmonk

Update a template

Connect Listmonk to LangChain via MCP

Follow these steps to wire Listmonk 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 28 tools from Listmonk via MCP

Why Use LangChain with the Listmonk MCP Server

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

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

Listmonk + LangChain Use Cases

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

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

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

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

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

Example Prompts for Listmonk in LangChain

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

"List all subscribers who are currently enabled in list 2."

"Create a new campaign named 'Monthly Newsletter' with the subject 'Our latest updates'."

"Show me all available email templates."

Troubleshooting Listmonk MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Listmonk + LangChain FAQ

Common questions about integrating Listmonk 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.

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.

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