How do I find my Maileon API Key?

Log in to your Maileon account and navigate to Settings > API to generate and copy your unique REST API Key.

What is the difference between a Mailing and a Campaign?

In Maileon terminology, a 'Mailing' refers to a specific email send-out, which is the standard entity managed via the campaigns tools in this server.

Can I filter contacts by specific attributes?

Yes, you can provide filtering strings in the `params` field of the `list_account_contacts` tool following the Maileon query syntax.

Maileon MCP Server for Pydantic AI 9 tools — connect in under 2 minutes

Name: Maileon
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 9 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Maileon through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Maileon "
            "(9 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Maileon?"
    )
    print(result.data)

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 Maileon MCP Server

Connect your Maileon account to any AI agent to automate your professional email marketing and audience management. This MCP server enables your agent to manage subscribers, control mailing lifecycles, and retrieve detailed performance statistics directly from natural language interfaces.

Pydantic AI validates every Maileon tool response against typed schemas, catching data inconsistencies at build time. Connect 9 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.

What you can do

Contact Management — List all subscribers, retrieve complete profiles by email, and manage opt-ins and opt-outs
Mailing Control — Monitor your email campaigns (mailings), retrieve metadata, and trigger official dispatches when ready
Real-time Reporting — Retrieve KPIs and statistics for individual mailings, including opens, clicks, and bounces
Audience Hygiene — Monitor unsubscription events and permanently remove contacts to maintain list quality
Data Ingestion — Create and update subscriber records programmatically to sync with your external CRMs

The Maileon MCP Server exposes 9 tools through the Vinkius. Connect it to Pydantic AI 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 Maileon to Pydantic AI via MCP

Follow these steps to integrate the Maileon MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 9 tools from Maileon with type-safe schemas

Why Use Pydantic AI with the Maileon MCP Server

Pydantic AI provides unique advantages when paired with Maileon through the Model Context Protocol.

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 Maileon integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Maileon connection logic from agent behavior for testable, maintainable code

Maileon + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Maileon MCP Server delivers measurable value.

Type-safe data pipelines: query Maileon with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Maileon tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Maileon and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Maileon responses and write comprehensive agent tests

Maileon MCP Tools for Pydantic AI (9)

These 9 tools become available when you connect Maileon to Pydantic AI via MCP:

create_new_contact

Can trigger a Double Opt-In process if configured. Add or update a contact in the database

delete_account_contact

Remove a contact from the account

dispatch_email_mailing

The mailing must be in a ready state. Trigger the dispatch of a mailing

get_contact_by_email

Get details for a specific contact

get_mailing_details

Get details for a specific mailing

get_mailing_statistics

Get performance statistics for a mailing

list_account_contacts

Use optional params for filtering. List all contacts in the Maileon account

list_email_mailings

Use optional params to filter by state (e.g., "state=draft"). List all mailings (campaigns)

list_unsubscription_events

List recent unsubscription events

Example Prompts for Maileon in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Maileon immediately.

"List all active mailings in my Maileon account."

"Get the latest statistics for mailing ID '12345'."

"Add 'new-user@example.com' to my Maileon contacts."

Troubleshooting Maileon MCP Server with Pydantic AI

Common issues when connecting Maileon to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Maileon + Pydantic AI FAQ

Common questions about integrating Maileon MCP Server with Pydantic AI.

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 Maileon MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.