How to Use the Listmonk MCP in Pydantic AI

Q: How do I initialize the Listmonk MCP toolset inside Pydantic AI?

Install pydantic-ai-slimmcp and use the unified MCPToolset constructor pointing to your Vinkius HTTP URL. Pass this object into the toolsets argument of your Agent instance.

Type-safe newsletter automation using Listmonk and Pydantic AI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Listmonk MCP to Pydantic AI

Create your Vinkius account to connect Listmonk to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Listmonk with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Type-Safe Subscriber Operations

This MCP Server uses `create_subscriber` to run your database operations without risking data corruption. When your agent calls subscriber tools like `patch_subscriber`, Pydantic AI validates the inputs and outputs against strict schemas at runtime. If your self-hosted database returns an unexpected payload structure, the framework raises a validation error immediately. This prevents your script from writing corrupted fields to your production lists.

Strict Campaign Validation in Pydantic AI

This toolset exposes `create_campaign` to ensure your email setups match expected schemas over the MCP protocol. Creating email campaigns requires exact parameters, and this setup protects your agent from sending malformed campaigns. The toolset translates the server's OpenAPI definitions into Pydantic models. Your agent can verify campaign states with `get_campaign` and update them using `update_campaign_status` with zero type-casting guesswork.

Reliable List and Template Auditing

This toolset relies on `list_templates` to audit your marketing layouts safely. Keep your templates and lists structured by letting your agent audit your setup, validating the returned records against typed Python classes using `list_lists`. If a template is missing a required variable, your agent catches it during the MCP validation phase before calling `update_template`, keeping your rendering pipeline safe.

Setup guide

Set up Listmonk MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "listmonk-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Listmonk tools.",
)

result = await agent.run("List recent Listmonk transactions")
print(result.output)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Listmonk. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Listmonk now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Listmonk MCP in Pydantic AI

Install pydantic-ai-slim[mcp] and use the unified MCPToolset constructor pointing to your Vinkius HTTP URL. Pass this object into the toolsets argument of your Agent instance.

The framework will raise a validation error instantly instead of passing bad data to your agent. This guarantees that your agent never attempts to parse invalid email configurations or corrupted subscriber profiles.

Yes, because the framework is model-agnostic. You can run a local model to execute tools like create_campaign or list_subscribers while maintaining strict runtime schema enforcement.

Your agent can safely register new users publicly by calling create_public_subscription. The toolset validates the subscription parameters, ensuring that double opt-in flags are strictly boolean.

All subscriber profiles, emails, and transactional data are handled inside ephemeral Vinkius sandboxes. The framework validates the data structure without storing or logging any sensitive PII externally.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript