How do I find my Maropost Account ID?

Your Account ID is the numeric ID found in your Maropost login URL or in your account settings.

Where do I find my Auth Token?

Go to Maropost Settings > API to generate and copy your Auth Token.

Is my data secure with this integration?

Yes. Your credentials are encrypted at rest and injected securely at runtime.

Maropost MCP Server for Pydantic AI 11 tools — connect in under 2 minutes

Name: Maropost
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 11 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Maropost 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 Maropost "
            "(11 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Maropost?"
    )
    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 Maropost MCP Server

Connect your Maropost account to any AI agent and take full control of your marketing automation through natural conversation.

Pydantic AI validates every Maropost tool response against typed schemas, catching data inconsistencies at build time. Connect 11 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 — Get contact details, list contacts in specific lists, and create/update records
Campaign Management — List all campaigns and fetch detailed configuration and status
List Management — Query contact lists and their specific details
Automation & Reports — Access workflows and retrieve detailed performance reports

The Maropost MCP Server exposes 11 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 Maropost to Pydantic AI via MCP

Follow these steps to integrate the Maropost 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 11 tools from Maropost with type-safe schemas

Why Use Pydantic AI with the Maropost MCP Server

Pydantic AI provides unique advantages when paired with Maropost 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 Maropost integration code

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

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

Maropost + Pydantic AI Use Cases

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

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

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

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

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

Maropost MCP Tools for Pydantic AI (11)

These 11 tools become available when you connect Maropost to Pydantic AI via MCP:

create_contact

Create or update a contact

get_campaign_details

Get campaign details by ID

get_contact

Get contact details by email

get_list_details

Get list details by ID

get_report_details

Get report details by ID

get_workflow_details

Get workflow details by ID

list_campaigns

List all campaigns

list_contacts_in_list

List contacts in a specific list

list_lists

List all contact lists

list_reports

List all reports

list_workflows

List all workflows

Example Prompts for Maropost in Pydantic AI

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

"Find contact details for john.doe@example.com."

"List all active campaigns in Maropost."

"Show performance report for campaign ID 987."

Troubleshooting Maropost MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Maropost + Pydantic AI FAQ

Common questions about integrating Maropost 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 Maropost MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.