How to Use the Mailjet MCP in Pydantic AI

Q: Can I use Pydantic AI to list all Mailjet contacts?

Yes. The listallcontacts tool returns an array that your agent can iterate over while maintaining type safety.

Validate your Mailjet email operations with Pydantic AI's type-safe agent framework.

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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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Setup Mailjet with Pydantic AI

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Type-safe transactional email sending

Your agent uses `send_transactional_email` with Pydantic AI enforcing the schema at runtime. If your payload is malformed, the system stops the request before it hits the API. This prevents bad requests from reaching Mailjet. It's the standard way to ensure your transactional emails are formatted correctly every single time.

Sync contacts using Pydantic AI models

The `create_new_contact` tool integrates with your agent's data models to ensure valid contact entries. It validates every field before updating your Mailjet database. This keeps your contact lists clean. You avoid corrupted entries because the agent rejects anything that doesn't fit the expected structure.

Query campaign metrics in Pydantic AI

Use `get_campaign_performance` to bring back stats that your agent can process. Pydantic AI validates the response fields against your model definitions. You can trust the data you get back. If the API returns unexpected fields, the agent catches it instantly rather than failing silently.

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

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": {
        "mailjet-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)

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Common questions about Mailjet MCP in Pydantic AI

Pydantic AI checks the tool response against your defined models. If the Mailjet data doesn't match the schema, the agent raises a validation error.

Yes. Use the MCPToolset with your HTTP endpoint. Pydantic AI handles the transport connection efficiently.

Yes. The `list_all_contacts` tool returns an array that your agent can iterate over while maintaining type safety.

Let the agent handle the error response from the tool. Pydantic AI will catch the exception, allowing you to log it or retry the call.

The server uses encrypted transport for all requests. Your sensitive subscriber list information is never stored or persisted by the server itself.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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