LangChainFramework

Listmonk MCP Server

Bring Newsletter Management
to LangChain

Name: Listmonk MCP Server
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

Learn how to connect Listmonk to LangChain and start using 28 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Create CampaignCreate ListCreate Public SubscriptionCreate SubscriberCreate TemplateDelete BouncesDelete CampaignDelete ListDelete MediaDelete SubscriberDelete TemplateGet CampaignGet Import StatusGet SubscriberList BouncesList CampaignsList ListsList MediaList Public ListsList SubscribersList TemplatesPatch SubscriberSend Transactional MessageStop ImportUpdate Campaign StatusUpdate ListUpdate SubscriberUpdate Template

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the Listmonk MCP Server?

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

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.

How it works

Subscribe to this server
Enter your Listmonk URL and API Token
Start managing your newsletters from Claude, Cursor, or any MCP-compatible client

Who is this for?

Marketers — quickly segment audiences and check campaign performance without opening the dashboard.
Developers — integrate transactional emails and manage subscribers directly from the terminal or IDE.
Content Creators — organize newsletter lists and templates with ease through simple commands.

Built-in capabilities (28)

create_campaign

Create a new campaign

create_list

Create a new list

create_public_subscription

Create a public subscription

create_subscriber

Create a new subscriber

create_template

Create a template

delete_bounces

Delete multiple bounce records

delete_campaign

Delete a campaign

delete_list

Delete a list

delete_media

Delete a media file

delete_subscriber

Delete a specific subscriber

delete_template

Delete a template

get_campaign

Retrieve a specific campaign

get_import_status

Retrieve import status

get_subscriber

Retrieve a specific subscriber

list_bounces

Retrieve bounce records

list_campaigns

Retrieve all campaigns

list_lists

Retrieve all lists

list_media

Get uploaded media files

list_public_lists

Retrieve public lists

list_subscribers

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

list_templates

Retrieve all templates

patch_subscriber

Partially update a subscriber

send_transactional_message

Send transactional messages to one or more subscribers using a template

stop_import

Stop an ongoing import

update_campaign_status

Change campaign status

update_list

Update a list

update_subscriber

Update a specific subscriber

update_template

Update a template

Why LangChain?

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.

—
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

See it in action

Listmonk in LangChain

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Listmonk and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Listmonk to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for LangChain →

Enterprise Security

Why teams choose Vinkius for Listmonk in LangChain

The Listmonk 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. All 28 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full Listmonk details →

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

The Vinkius Advantage

How Vinkius secures
Listmonk for LangChain

Every tool call from LangChain to the Listmonk MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

Can I search for subscribers using specific SQL-like attributes?

Yes! Use the list_subscribers tool with the query parameter. You can use SQL expressions to filter by attributes, names, or email patterns directly through the agent.

How do I send a one-off transactional email to a user?

Use the send_transactional action. You just need to provide the subscriber's email or ID and the template ID you wish to use for the message.

Can I stop an ongoing subscriber import if I notice an error?

Absolutely. Use the stop_import tool to immediately halt any active subscriber import process in your Listmonk instance.

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.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

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