Compatible with every major AI agent and IDE
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_subscribersandcreate_subscriber. - List Organization — Manage your mailing lists and public subscriptions to keep your audience segmented using
list_listsandcreate_list. - Campaign Control — Create, monitor, and update the status of your email campaigns from draft to sent with
create_campaignandupdate_campaign_status. - Transactional Emails — Send high-priority transactional messages instantly via the
send_transactionaltool. - Media & Templates — Manage your asset library and email templates without leaving your chat interface using
list_templatesandlist_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 a new campaign
Create a new list
Create a public subscription
Create a new subscriber
Create a template
Delete multiple bounce records
Delete a campaign
Delete a list
Delete a media file
Delete a specific subscriber
Delete a template
Retrieve a specific campaign
Retrieve import status
Retrieve a specific subscriber
Retrieve bounce records
Retrieve all campaigns
Retrieve all lists
Get uploaded media files
Retrieve public lists
Supports pagination, list filtering, and SQL expression search. Query and retrieve subscribers
Retrieve all templates
Partially update a subscriber
Send transactional messages to one or more subscribers using a template
Stop an ongoing import
Change campaign status
Update a list
Update a specific subscriber
Update a template
Why Pydantic AI?
Pydantic AI validates every Listmonk tool response against typed schemas, catching data inconsistencies at build time. Connect 28 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
- —
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
- —
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Listmonk integration code
- —
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Listmonk connection logic from agent behavior for testable, maintainable code
Listmonk in Pydantic AI
Listmonk and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Listmonk to Pydantic AI 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.
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 |
Why teams choose Vinkius for Listmonk in Pydantic AI
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 Pydantic AI 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.

* 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
How Vinkius secures
Listmonk for Pydantic AI
Every tool call from Pydantic AI to the Listmonk MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
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 Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Listmonk MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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