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How to Use the Mailjet MCP in Pydantic AI

Bring type-safe Mailjet email operations to your Pydantic AI agent logic.

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Pydantic AI

Connect Mailjet MCP to Pydantic AI

Create your Vinkius account to connect Mailjet 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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Type-safe email delivery with Pydantic AI

Every response from `send_plain_email` is validated against your Pydantic models. If the server returns malformed data, your agent catches the error before it propagates. This ensures your transactional messages are always sent with the correct parameters. You get reliability in every automated email flow.

Validate Mailjet stats in Pydantic AI

Your agent uses `get_campaign_performance` and validates the output structure instantly. It ensures that the metrics you receive are exactly what your application expects. You can trust the stats retrieved from `get_account_analytics` because the framework enforces strict schema checking. No silent corruption happens here.

Manage Mailjet templates with Pydantic AI

Retrieve template definitions using `get_template_details` and ensure the payload matches your requirements. Your agent validates every field defined in the server response. It lists available templates with `list_email_templates` to ensure it always selects valid options. This makes your agentic communication logic completely predictable.

Setup guide

Set up Mailjet MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 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": {
        "mailjet-alternative-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mailjet. 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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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Mailjet MCP in Pydantic AI

Instantiate the MCPToolset with your server URL. Add this toolset to your agent instance to start executing Mailjet functions with full type validation.
The framework validates every response against a Pydantic model. If Mailjet returns data that doesn't match the expected schema, the agent stops to prevent bad state.
Yes. You can use `list_contact_groups` to retrieve your lists. The agent will validate that each group object contains the expected fields before proceeding.
The server runs externally and the client connects via HTTP or SSE. This keeps your Pydantic AI agent lightweight while maintaining a stable link to the Mailjet API.
The system uses an ephemeral sandbox for all requests. Your sensitive contact lists and email content are handled in volatile memory and never persisted in the agent's state.

Start using the Mailjet MCP today

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