How do I find my Mailify API Key?

Log in to your Mailify (Sarbacane) account, navigate to Extensions > API to generate and copy your unique API Key.

Can I retrieve stats for an SMS campaign?

Yes, the `get_campaign_performance` tool works for both email and SMS campaigns to retrieve relevant engagement metrics.

What format is required for adding a contact?

Use the `contact_json` parameter to provide a JSON object with at least the 'email' field. You can also include custom attribute fields defined in your list.

Mailify (Sarbacane) MCP Server for CrewAI 9 tools — connect in under 2 minutes

Name: Mailify (Sarbacane)
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 9 Tools Framework

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

Get MCP Server for AI Agents

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Mailify (Sarbacane) Specialist",
    goal="Help users interact with Mailify (Sarbacane) effectively",
    backstory=(
        "You are an expert at leveraging Mailify (Sarbacane) 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 Mailify (Sarbacane) "
        "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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About Mailify (Sarbacane) MCP Server

Connect your Mailify (Sarbacane) account to any AI agent to automate your professional marketing communications. This MCP server enables your agent to manage contact lists (address books), retrieve campaign performance statistics, and update subscriber data directly from natural language interfaces.

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

Campaign Oversight — List all email and SMS campaigns and retrieve detailed metadata and status information
Performance Auditing — Retrieve real-time metrics including opens, clicks, and bounces for any specific campaign
Audience Management — Manage multiple address books and organize your subscribers effectively
Contact Synchronization — Add, update, and remove contacts from your lists programmatically
Metadata Inspection — Fetch detailed configuration and settings for both campaigns and contact collections

The Mailify (Sarbacane) 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 Mailify (Sarbacane) to CrewAI via MCP

Follow these steps to integrate the Mailify (Sarbacane) 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 Mailify (Sarbacane)

Why Use CrewAI with the Mailify (Sarbacane) MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Mailify (Sarbacane) 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

Mailify (Sarbacane) + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Mailify (Sarbacane) MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Mailify (Sarbacane) 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 Mailify (Sarbacane), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Mailify (Sarbacane) 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 Mailify (Sarbacane) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Mailify (Sarbacane) MCP Tools for CrewAI (9)

These 9 tools become available when you connect Mailify (Sarbacane) to CrewAI via MCP:

add_contact_to_book

Requires a list ID and contact data. Add a new contact to an address book

delete_book_contact

Remove a contact from an address book

get_address_book_details

Get details for a specific contact list

get_campaign_details

Get details for a specific campaign

get_campaign_performance

Get performance statistics for a campaign

list_address_books

List all contact lists (address books)

list_book_contacts

List contacts in a specific address book

list_email_campaigns

List all email marketing campaigns

update_book_contact

Update an existing contact in an address book

Example Prompts for Mailify (Sarbacane) in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Mailify (Sarbacane) immediately.

"List all my current campaigns in Mailify."

"Show performance stats for campaign ID 'cp123'."

"Add 'new-lead@example.com' to address book ID 'bk987'."

Troubleshooting Mailify (Sarbacane) MCP Server with CrewAI

Common issues when connecting Mailify (Sarbacane) 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.

Mailify (Sarbacane) + CrewAI FAQ

Common questions about integrating Mailify (Sarbacane) 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.