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

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Connect your CrewAI agents to Mailjet through Vinkius, pass the Edge URL in the `mcps` parameter and every Mailjet tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Ask AI about this MCP Server for CrewAI

The Mailjet MCP Server for CrewAI 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

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python
from crewai import Agent, Task, Crew

agent = Agent(
    role="Mailjet Specialist",
    goal="Help users interact with Mailjet effectively",
    backstory=(
        "You are an expert at leveraging Mailjet tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Mailjet "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
Mailjet
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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.

When paired with CrewAI, Mailjet becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Mailjet tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI

When CrewAI 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

Subscribe to list on Mailjet

Add contact to list

Connect Mailjet to CrewAI via MCP

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

01

Install CrewAI

Run pip install crewai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Customize the agent

Adjust the role, goal, and backstory to fit your use case
04

Run the crew

Run python crew.py. CrewAI auto-discovers 12 tools from Mailjet

Why Use CrewAI with the Mailjet MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Mailjet through the Model Context Protocol.

01

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

02

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

03

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

04

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Mailjet + CrewAI Use Cases

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

01

Automated multi-step research: a reconnaissance agent queries Mailjet for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

02

Scheduled intelligence reports: set up a crew that periodically queries Mailjet, analyzes trends over time, and generates executive briefings in markdown or PDF format

03

Multi-source enrichment pipelines: chain Mailjet tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

04

Compliance and audit automation: a compliance agent queries Mailjet against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Mailjet in CrewAI

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

01

"Show sending statistics and contact list summary."

02

"List email templates and send a transactional email."

03

"Show campaign performance and bounce analysis."

Troubleshooting Mailjet MCP Server with CrewAI

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

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Mailjet + CrewAI FAQ

Common questions about integrating Mailjet MCP Server with CrewAI.

01

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
02

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
03

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
04

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
05

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.

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