Can I check the statistics for a specific campaign using the agent?

Yes! Use the `get_campaign_performance` tool with the Campaign ID. Your agent will fetch the detailed performance data, including open rates, clicks, and bounces, directly from Campaign Monitor.

How do I add a new subscriber to a list?

Simply ask the agent to `add_subscriber` and provide the List ID, name, and email address. The subscriber will be added to your Campaign Monitor list with consent tracking enabled automatically.

Does the integration allow listing all my clients?

Yes. Use the `list_clients` tool. It will retrieve all the client accounts managed under your Campaign Monitor account, making it easy to find the IDs needed for other operations.

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

Name: Campaign Monitor
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

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

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

asyncio.run(main())

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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 Campaign Monitor MCP Server

Connect your Campaign Monitor account to any AI agent and orchestrate your email marketing, subscriber management, and multi-channel campaigns through natural conversation.

Pydantic AI validates every Campaign Monitor 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

Subscriber Oversight — List all your active subscribers and retrieve detailed profiles, including contact information and history.
Campaign Management — List all email campaigns and retrieve detailed metadata, including subjects and statuses.
Performance Tracking — Retrieve real-time statistics for specific campaigns to monitor engagement, ROI, and delivery rates.
List Coordination — Access and list your contact lists and segments to ensure your audience is properly managed.
Client & account Monitoring — Access core client information and templates managed within the platform.
Subscriber Growth — Add new subscribers directly from your workspace with custom names and automated consent tracking.

The Campaign Monitor 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 Campaign Monitor to Pydantic AI via MCP

Follow these steps to integrate the Campaign Monitor 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 10 tools from Campaign Monitor with type-safe schemas

Why Use Pydantic AI with the Campaign Monitor MCP Server

Pydantic AI provides unique advantages when paired with Campaign Monitor 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 Campaign Monitor integration code

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

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

Campaign Monitor + Pydantic AI Use Cases

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

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

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

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

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

Campaign Monitor MCP Tools for Pydantic AI (10)

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

add_subscriber

Add a new subscriber to a list

get_account_info

Retrieve core account information

get_campaign_performance

Retrieve performance summary for a specific campaign

get_client_details

Get details of a specific client

get_contact_list

Get details of a specific contact list

list_campaigns

List all campaigns for a client

list_clients

List all client accounts

list_contact_lists

List all contact lists for a specific client

list_email_templates

List all templates for a client

list_subscribers

List active subscribers in a list

Example Prompts for Campaign Monitor in Pydantic AI

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

"List all my clients in Campaign Monitor."

"Show the lists for client cli_123."

"Add Jane Smith (jane@example.com) to the 'Weekly Newsletter' list."

Troubleshooting Campaign Monitor MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Campaign Monitor + Pydantic AI FAQ

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