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Dotdigital MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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

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 Dotdigital "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())
Dotdigital
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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 Dotdigital MCP Server

Integrate Dotdigital, the powerful marketing automation and omnichannel platform, directly into your AI workflow. Manage your email campaigns and templates, track contact address books and individual profiles, monitor automation programs (journeys), and oversee your marketing operations using natural language.

Pydantic AI validates every Dotdigital tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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

  • Campaign Oversight — List and retrieve detailed information and subject lines for all your email marketing campaigns.
  • Contact Intelligence — Monitor contact address books, individual profile details, and subscription statuses across your organization.
  • Automation Monitoring — Track active marketing automation programs and customer journeys to ensure effective engagement.
  • Marketing Auditing — Retrieve high-level summaries of address book volumes, campaign activity, and account limits instantly.

The Dotdigital MCP Server exposes 10 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 Dotdigital to Pydantic AI via MCP

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

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

The agent discovers 10 tools from Dotdigital with type-safe schemas

Why Use Pydantic AI with the Dotdigital MCP Server

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

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Dotdigital integration code

03

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

04

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

Dotdigital + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Dotdigital MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Dotdigital to Pydantic AI via MCP:

01

get_campaign_details

Get detailed information for a specific email campaign

02

get_contact_profile

Get full profile and history for a specific contact by email

03

get_dotdigital_account_metadata

Retrieve metadata and limits for your Dotdigital account

04

list_address_book_contacts

List all contacts within a specific address book

05

list_automation_programs

List all active marketing automation programs (journeys)

06

list_email_campaigns

List all email marketing campaigns

07

list_email_templates

List all available email message templates

08

list_marketing_address_books

List all contact address books configured in your Dotdigital account

09

quick_marketing_health_audit

Retrieve a high-level summary of campaign and contact activity

10

search_marketing_contacts

Search for contacts using a specific query string

Example Prompts for Dotdigital in Pydantic AI

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

01

"List all my email campaigns."

02

"Show me the contacts in address book '12345'."

03

"Which marketing automation programs are currently active?"

Troubleshooting Dotdigital MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Dotdigital + Pydantic AI FAQ

Common questions about integrating Dotdigital MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Dotdigital MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Dotdigital to Pydantic AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.