How do I find my SendCloud API User and Key?

Log in to your SendCloud account, go to [Settings] -> [API Keys], and you will find your API User (api_user) and API Key there.

Can I check the delivery status of an email?

Yes. Use the `get_email_status` tool with the unique message ID (msgId) returned when the email was sent. It will provide real-time status such as 'Delivered', 'Opened', or 'Bounced'.

Is it possible to manage address list members through the agent?

Yes! Use the `add_address_member` tool to programmatically add new emails to your existing address lists, facilitating automated subscriber management.

SendCloud MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: SendCloud
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to SendCloud through Vinkius, pass the Edge URL in the `mcps` parameter and every SendCloud 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="SendCloud Specialist",
    goal="Help users interact with SendCloud effectively",
    backstory=(
        "You are an expert at leveraging SendCloud 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 SendCloud "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 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 SendCloud MCP Server

Empower your AI agent to orchestrate your digital communication with SendCloud, the premier email and SMS service provider for enterprises. By connecting SendCloud to your agent, you transform complex mailing campaigns, template management, and contact list auditing into a natural conversation. Your agent can instantly send targeted emails, retrieve detailed delivery status, monitor mailing address lists, and even provide performance statistics without you ever needing to navigate the comprehensive SendCloud portal. Whether you are automating transactional notifications or coordinating large-scale marketing newsletters, your agent acts as a real-time communication assistant, keeping your messages accurate and your delivery reliable.

When paired with CrewAI, SendCloud becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call SendCloud 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 Orchestration — Send individual or template-based emails and retrieve real-time delivery status for auditing.
Template Management — Browse and retrieve available email templates to maintain consistent branding across communications.
Address List Control — Create, manage, and monitor mailing address lists and their members directly through the agent.
Performance Insights — Retrieve high-level statistics on email delivery, open rates, and general performance metrics.
Account Auditing — Access general account metadata and monitor your communication usage and limits.

The SendCloud MCP Server exposes 10 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 SendCloud to CrewAI via MCP

Follow these steps to integrate the SendCloud 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 10 tools from SendCloud

Why Use CrewAI with the SendCloud MCP Server

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

SendCloud + CrewAI Use Cases

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

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

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

SendCloud MCP Tools for CrewAI (10)

These 10 tools become available when you connect SendCloud to CrewAI via MCP:

add_address_member

Add member to address list

create_address

Create address list

delete_address

Delete address list

get_email_status

Get email delivery status

get_stats

Get email statistics

get_user_info

Get account information

list_address_members

List address members

list_addresses

List mailing addresses

list_templates

List email templates

send_email

Send an email

Example Prompts for SendCloud in CrewAI

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

"Send a welcome email to 'mario@example.com' using the 'welcome-template'."

"Show me the performance stats for the last month."

"List all my mailing address lists."

Troubleshooting SendCloud MCP Server with CrewAI

Common issues when connecting SendCloud 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.

SendCloud + CrewAI FAQ

Common questions about integrating SendCloud 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.