Mailjet MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Create New Contact, Get Account Analytics, Get Campaign Performance, and more

Name: Mailjet
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Mailjet through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Mailjet MCP Server for Pydantic AI is a standout in the Marketing Automation category — giving your AI agent 12 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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 Mailjet "
            "(12 tools)."
        ),
    )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 Mailjet MCP Server

Connect your Mailjet account to any AI agent and manage email operations through natural conversation.

Pydantic AI validates every Mailjet tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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

Email Sending — Send transactional and marketing emails at scale
Contact Management — Manage contact lists with properties and segmentation
Template Management — Browse, create, and manage email templates
Delivery Analytics — Track opens, clicks, bounces, and spam reports
Campaign Management — Create and monitor email campaigns
Statistics — Access detailed sending statistics and trends

The Mailjet MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Mailjet tools available for Pydantic AI

When Pydantic AI connects to Mailjet through Vinkius, your AI agent gets direct access to every tool listed below — spanning transactional-email, contact-management, template-builder, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create new contact on Mailjet

Add email to contacts

get

Get account analytics on Mailjet

Check account stats

get

Get campaign performance on Mailjet

) for a specific campaign ID. Check campaign stats

get

Get template details on Mailjet

Get template content

list

List all contacts on Mailjet

List audience contacts

list

List contact groups on Mailjet

List contact lists

list

List email templates on Mailjet

List saved templates

list

List sender domains on Mailjet

Check sending domains

list

List sent campaigns on Mailjet

List past campaigns

send

Send plain email on Mailjet

Send transactional email

send

Send template email on Mailjet

Send using template

Subscribe to list on Mailjet

Add contact to list

Connect Mailjet to Pydantic AI via MCP

Follow these steps to wire Mailjet into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 12 tools from Mailjet with type-safe schemas

Why Use Pydantic AI with the Mailjet MCP Server

Pydantic AI provides unique advantages when paired with Mailjet 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 Mailjet integration code

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

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

Mailjet + Pydantic AI Use Cases

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

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

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

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

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

Example Prompts for Mailjet in Pydantic AI

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

"Show sending statistics and contact list summary."

"List email templates and send a transactional email."

"Show campaign performance and bounce analysis."

Troubleshooting Mailjet MCP Server with Pydantic AI

Common issues when connecting Mailjet to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Mailjet + Pydantic AI FAQ

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

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