What is an 'Enhanced' address in Mailsac?

An enhanced address is a private inbox that only you can access. Use the `reserve_new_address` tool to make an address private/enhanced.

Can I read the raw SMTP source of an email?

While this server provides tools for HTML and Plain Text bodies, the Mailsac API supports raw data retrieval. You can use the text body tool to extract key technical metadata.

Is an API Key required for all addresses?

Yes, this MCP server requires an API Key to interact with your account and access your reserved resources and private messages.

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

Name: Mailsac
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 9 Tools Framework

Connect your CrewAI agents to Mailsac through Vinkius, pass the Edge URL in the `mcps` parameter and every Mailsac 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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python

from crewai import Agent, Task, Crew

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

Connect your Mailsac account to any AI agent to automate your email testing and inbox management. This MCP server enables your agent to reserve private email addresses, retrieve and search for messages, and inspect HTML or plain text bodies directly from natural language interfaces.

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

Inbox Oversight — List and manage your reserved (enhanced) addresses and custom domains
Instant Retrieval — Fetch a list of messages received by any address in your account instantly
Content Extraction — Retrieve sanitized HTML or raw plain text bodies to extract verification codes or links
Inbox Maintenance — Permanently delete individual messages or clear entire inboxes via simple commands
Infrastructure Management — Reserve new private addresses programmatically for isolated testing flows
Global Search — Query messages across all your addresses using advanced search parameters (requires paid tier)

The Mailsac 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 Mailsac to CrewAI via MCP

Follow these steps to integrate the Mailsac 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 Mailsac

Why Use CrewAI with the Mailsac MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Mailsac 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

Mailsac + CrewAI Use Cases

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

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

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

Mailsac MCP Tools for CrewAI (9)

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

delete_inbox_message

Permanently remove a message from an inbox

get_html_message_body

Get the sanitized HTML body of a specific message

get_plain_text_body

Get the plain text body of a specific message

list_custom_domains

List custom domains linked to the account

list_inbox_messages

List messages in a specific inbox

list_reserved_addresses

List all reserved (enhanced) email addresses

release_reserved_address

Delete/Release a reserved email address

reserve_new_address

Reserve a specific email address

search_account_messages

Requires a paid Mailsac tier. Use query params like to, from, subject. Search for messages across all addresses

Example Prompts for Mailsac in CrewAI

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

"List all my reserved email addresses in Mailsac."

"Fetch the plain text content of the last email sent to 'test-user@mailsac.com'."

"Reserve a new private address 'automation-flow@mailsac.com'."

Troubleshooting Mailsac MCP Server with CrewAI

Common issues when connecting Mailsac 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.

Mailsac + CrewAI FAQ

Common questions about integrating Mailsac 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.