How do I get an Elastic Email API Key?

Log in to your Elastic Email dashboard, navigate to **Settings > API**, and you can generate or retrieve your unique API Key from there. Ensure the key has the necessary permissions for campaigns and contacts.

Can the agent send new email broadcasts?

This integration currently focuses on listing and auditing campaigns, lists, and contacts. Scheduling or sending actual email broadcasts should be managed via the Elastic Email campaign builder or SMTP interface.

Does the integration show real-time delivery status?

Yes, you can use the list_delivery_logs tool to retrieve the latest transmission events and statuses as reported by the Elastic Email platform.

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

Name: Elastic Email
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Elastic Email through Vinkius, pass the Edge URL in the `mcps` parameter and every Elastic Email 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="Elastic Email Specialist",
    goal="Help users interact with Elastic Email effectively",
    backstory=(
        "You are an expert at leveraging Elastic Email 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 Elastic Email "
        "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 Elastic Email MCP Server

Integrate Elastic Email, the powerful email marketing and delivery platform, directly into your AI workflow. Manage your email campaigns and templates, track contact lists and individual profiles, monitor real-time delivery logs and statuses, and oversee your marketing operations using natural language.

When paired with CrewAI, Elastic Email becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Elastic Email 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 and retrieve detailed information and performance metrics for all your email marketing campaigns.
Contact Intelligence — Monitor contact address lists, individual profile details, and subscription statuses across your organization.
Delivery Monitoring — Track real-time email delivery logs, identifying success rates and recipient timestamps via chat.
Marketing Auditing — Retrieve high-level summaries of list volumes, campaign activity, and account credit balances instantly.

The Elastic Email 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 Elastic Email to CrewAI via MCP

Follow these steps to integrate the Elastic Email 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 Elastic Email

Why Use CrewAI with the Elastic Email MCP Server

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

Elastic Email + CrewAI Use Cases

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

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

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

Elastic Email MCP Tools for CrewAI (10)

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

get_campaign_performance

Get detailed performance metrics for a specific email campaign

get_contact_profile

Get full profile and history for a specific contact by email

get_elastic_email_metadata

Retrieve metadata and usage limits for your Elastic Email account

list_contact_address_lists

List all contact lists configured in your account

list_delivery_logs

List recent email delivery logs and statuses

list_email_designs

List all available email message templates and designs

list_marketing_campaigns

List all email marketing campaigns in your Elastic Email account

list_marketing_contacts

List all contacts registered in your organization

quick_marketing_volume_audit

Retrieve a high-level summary of campaign activity and contact counts

search_contacts_by_email

Search for a contact using their email address

Example Prompts for Elastic Email in CrewAI

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

"List all active marketing campaigns."

"Show me the delivery logs for today."

"Search for contact 'john.doe@example.com'."

Troubleshooting Elastic Email MCP Server with CrewAI

Common issues when connecting Elastic Email 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.

Elastic Email + CrewAI FAQ

Common questions about integrating Elastic Email 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.