Can I send an email using an existing template ID?

Yes! Use the `send_template` tool. Provide the Template ID and an array of recipient objects (with their email addresses) to trigger the delivery instantly.

How do I see which email addresses have been suppressed?

Run the `list_suppression` query. The agent will retrieve a list of unsubscribed or bounced email addresses managed by your UniOne account.

Is it possible to update an email template via AI?

Absolutely. Use the `set_template` action. You can provide the ID, name, subject, and the new HTML body to save changes to your template library.

INSTANT PLUG AND PLAY

UniOne MCP Server for CrewAIGive CrewAI instant access to 12 tools to Delete Template, Delete Webhook, Get Template, and more

Name: UniOne
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 12 Tools Framework

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

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

Open in ChatGPT Open in Claude Open in Perplexity

The UniOne app connector for CrewAI is a standout in the Developer Tools category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="UniOne Specialist",
    goal="Help users interact with UniOne effectively",
    backstory=(
        "You are an expert at leveraging UniOne 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 UniOne "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

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

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 UniOne MCP Server

Connect your UniOne email delivery account to any AI agent and simplify how you manage your transactional messaging, email templates, and delivery tracking through natural conversation.

When paired with CrewAI, UniOne becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call UniOne 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 Delivery — Send individual or bulk transactional emails with full HTML support and personalized sender details.
Template Automation — List, create, and send emails using pre-defined templates for consistent branding.
Event Monitoring — Configure webhooks and track delivery events (opened, clicked, delivered) in real-time.
Reputation Management — List and manage suppressed email addresses (unsubscribes/bounces) to protect your sender score.
Technical Control — Fetch detailed metadata for templates and webhooks directly from the agent.

The UniOne MCP Server exposes 12 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.

All 12 UniOne tools available for CrewAI

When CrewAI connects to UniOne through Vinkius, your AI agent gets direct access to every tool listed below — spanning transactional-email, email-delivery, smtp, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

delete_template

Delete a template

delete_webhook

Delete a webhook

get_template

Get template details

get_webhook

Get webhook details

list_suppression

List suppressed emails

list_templates

List email templates

list_webhooks

List webhooks

send_email

Send a transactional email

send_template

Send email using a template

set_suppression

Add email to suppression list

set_template

Create or update a template

set_webhook

Configure a webhook

Connect UniOne to CrewAI via MCP

Follow these steps to wire UniOne into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 12 tools from UniOne

Why Use CrewAI with the UniOne MCP Server

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

UniOne + CrewAI Use Cases

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

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

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

Example Prompts for UniOne in CrewAI

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

"List all email templates in my UniOne account."

"Send the 'welcome_01' template to 'user@example.com'."

"Check the suppression list for any recent bounces."

Troubleshooting UniOne MCP Server with CrewAI

Common issues when connecting UniOne 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.

UniOne + CrewAI FAQ

Common questions about integrating UniOne 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.