How to Use the MoonMail MCP in Pydantic AI

Build type-safe email pipelines using Pydantic AI to validate MoonMail schemas at runtime.

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Connect MoonMail MCP to Pydantic AI

Create your Vinkius account to connect MoonMail 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 MoonMail with Pydantic AI

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Validate subscriber inputs strictly with Pydantic AI

Registering new contacts securely relies on the `add_subscriber` tool with strict runtime type checks. Because Pydantic AI validates every input against defined models, your agent cannot pass malformed data or empty email fields to the MoonMail API. This prevents silent failures during list updates. If your Pydantic AI agent attempts to pass an invalid subscriber payload, the framework catches the error immediately before hitting the network.

Type-safe campaign creation via MCP Server

The `create_campaign` tool generates email campaigns with structured parameters. Pydantic AI ensures that fields like subject lines, HTML bodies, and list IDs match the required MoonMail API format exactly. Your Pydantic AI agent can then safely call `send_campaign` without risking formatting errors. You get predictable, reliable campaign dispatches every single time.

Parse campaign metrics without schema corruption

Performance tracking is handled by the `get_campaign_stats` tool, which returns open rates and bounce counts as structured data. Pydantic AI parses these fields into typed Python objects through the MCP Server, ensuring your downstream logic never breaks on unexpected null values from MoonMail. You can also call `list_campaigns` to build a clean index of your marketing history. The Pydantic AI framework guarantees that every campaign field matches your local models.

Setup guide

Set up MoonMail 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": {
        "moonmail-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent MoonMail 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 MoonMail. 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 MoonMail MCP in Pydantic AI

The framework validates the API response against its local models at runtime. If the MoonMail MCP Server updates its schema, your Pydantic AI agent will flag any discrepancies immediately rather than failing silently.

Yes, Pydantic AI is model-agnostic. You can use local models or commercial APIs to trigger tools like `list_lists` and manage your email campaigns.

It uses the Streamable HTTP or SSE transport. This allows your Pydantic AI agent to maintain a secure, long-lived connection to the MCP Server hosted on Vinkius.

You initialize the toolset using the unified MCPToolset class pointing to your Vinkius HTTP endpoint. Pydantic AI automatically registers tools like `add_subscriber` and validates their signatures.

Your subscriber lists and email logs are never cached or stored by Vinkius. All data payloads moving between Pydantic AI and the MCP Server are processed in memory and encrypted in transit.

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