How do I find my Maileon API Key?

Log in to your Maileon account and navigate to Settings > API to generate and copy your unique REST API Key.

What is the difference between a Mailing and a Campaign?

In Maileon terminology, a 'Mailing' refers to a specific email send-out, which is the standard entity managed via the campaigns tools in this server.

Can I filter contacts by specific attributes?

Yes, you can provide filtering strings in the `params` field of the `list_account_contacts` tool following the Maileon query syntax.

Maileon MCP Server for CrewAI 9 tools — connect in under 2 minutes

Name: Maileon
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 9 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Maileon Specialist",
    goal="Help users interact with Maileon effectively",
    backstory=(
        "You are an expert at leveraging Maileon 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 Maileon "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 9 available tools "
        "and what they can do."
    ),
)

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

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* 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 Maileon MCP Server

Connect your Maileon account to any AI agent to automate your professional email marketing and audience management. This MCP server enables your agent to manage subscribers, control mailing lifecycles, and retrieve detailed performance statistics directly from natural language interfaces.

When paired with CrewAI, Maileon becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Maileon 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

Contact Management — List all subscribers, retrieve complete profiles by email, and manage opt-ins and opt-outs
Mailing Control — Monitor your email campaigns (mailings), retrieve metadata, and trigger official dispatches when ready
Real-time Reporting — Retrieve KPIs and statistics for individual mailings, including opens, clicks, and bounces
Audience Hygiene — Monitor unsubscription events and permanently remove contacts to maintain list quality
Data Ingestion — Create and update subscriber records programmatically to sync with your external CRMs

The Maileon MCP Server exposes 9 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Maileon to CrewAI via MCP

Follow these steps to integrate the Maileon MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

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

Customize the agent

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

Run the crew

Run python crew.py. CrewAI auto-discovers 9 tools from Maileon

Why Use CrewAI with the Maileon MCP Server

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

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

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

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

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

Maileon + CrewAI Use Cases

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

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

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

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

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

Maileon MCP Tools for CrewAI (9)

These 9 tools become available when you connect Maileon to CrewAI via MCP:

create_new_contact

Can trigger a Double Opt-In process if configured. Add or update a contact in the database

delete_account_contact

Remove a contact from the account

dispatch_email_mailing

The mailing must be in a ready state. Trigger the dispatch of a mailing

get_contact_by_email

Get details for a specific contact

get_mailing_details

Get details for a specific mailing

get_mailing_statistics

Get performance statistics for a mailing

list_account_contacts

Use optional params for filtering. List all contacts in the Maileon account

list_email_mailings

Use optional params to filter by state (e.g., "state=draft"). List all mailings (campaigns)

list_unsubscription_events

List recent unsubscription events

Example Prompts for Maileon in CrewAI

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

"List all active mailings in my Maileon account."

"Get the latest statistics for mailing ID '12345'."

"Add 'new-user@example.com' to my Maileon contacts."

Troubleshooting Maileon MCP Server with CrewAI

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

MCP tools not discovered

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

Agent not using tools

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

Timeout errors

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

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.

Maileon + CrewAI FAQ

Common questions about integrating Maileon MCP Server with CrewAI.

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.

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.

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.

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.

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.