How to Use the Campaign Monitor MCP in Pydantic AI

Q: How do I integrate Campaign Monitor with Pydantic AI?

Install pydantic-ai-slimmcp. Use the unified MCPToolset class with your Vinkius HTTP endpoint, then pass it to the toolsets argument of your Agent.

Q: Can Pydantic AI manage Campaign Monitor subscribers safely?

Yes. It uses the addsubscriber tool. Because the framework is type-safe, it validates the subscriber payload against your models before making the API call.

Q: Does Pydantic AI validate Campaign Monitor performance metrics?

Absolutely. When calling getcampaignperformance, the framework ensures the returned open and click rates match the expected data types.

Connect Campaign Monitor to Pydantic AI to build type-safe email marketing agents that validate every subscriber update before execution.

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Connect Campaign Monitor MCP to Pydantic AI

Create your Vinkius account to connect Campaign Monitor 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.

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Setup Campaign Monitor with Pydantic AI

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Perplexity

Type-Safe Campaign Monitor MCP Server

Email marketing APIs are notorious for returning weird JSON structures. When your agent calls `get_campaign_performance`, Pydantic AI validates the exact click and bounce counts at runtime. If the API spits out a string instead of an integer, the agent fails loudly. You catch the error immediately instead of silently writing corrupted performance stats into your database.

Strict Subscriber List Management

Adding bad emails to your lists hurts deliverability. You can build strict Pydantic models for incoming leads, then have the agent fire `add_subscriber` only when the data perfectly matches your schema. It works the same way when pulling data out. Calling `list_subscribers` or `get_contact_list` guarantees you get exactly the fields you expect. No hallucinated custom fields, just the actual data from the account.

Navigate Client Accounts Predictably

Managing an agency setup requires precision. Your agent maps out the hierarchy using `list_clients` and `get_client_details`, and you know the exact shape of that response every single time. You just pass your Vinkius endpoint into `MCPToolset` and attach it to your toolsets. The agent confidently retrieves templates with `list_email_templates` because the framework guarantees the contract between the model and the external service.

Setup guide

Set up Campaign Monitor 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": {
        "campaign-monitor-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Campaign Monitor. 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.

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Common questions about Campaign Monitor MCP in Pydantic AI

Install `pydantic-ai-slim[mcp]`. Use the unified `MCPToolset` class with your Vinkius HTTP endpoint, then pass it to the `toolsets` argument of your Agent.

Yes. It uses the `add_subscriber` tool. Because the framework is type-safe, it validates the subscriber payload against your models before making the API call.

Absolutely. When calling `get_campaign_performance`, the framework ensures the returned open and click rates match the expected data types.

Pydantic AI supports both Streamable HTTP and SSE transports for external servers. Streamable HTTP is the recommended approach for Vinkius endpoints.

This integration touches sensitive client account hierarchies and subscriber emails. Vinkius handles the auth layer via a single endpoint token, meaning your application never stores raw API keys locally.

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