How do I find my Atera API Key?

Log in to Atera, go to **Admin > Data Management > API**, and you can generate and copy your API Key there.

What is an 'Agent ID'?

An Agent ID is a unique numeric identifier for a device monitored by Atera. You can find these IDs by using the `list_agents` tool.

Can I create a ticket for a specific customer?

Yes, use the `create_ticket` tool and provide the optional `customerId` parameter to link the ticket to a specific organization in your Atera account.

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

Name: Atera
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 9 Tools Framework

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

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

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

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 Atera MCP Server

The Atera MCP Server provides your AI agent with a powerful interface to your IT management platform. Streamline your MSP or IT department operations by monitoring remote agents, managing support tickets, and auditing customer data using simple natural language.

When paired with CrewAI, Atera becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Atera tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

Key Features

Agent Monitoring — List and retrieve detailed information about monitored devices, including OS, IP addresses, and real-time statuses.
Helpdesk Management — Create, list, and audit support tickets to ensure timely resolution of IT issues.
Customer & Contact Oversight — Access your organizational structure, including customers (companies) and individual end-user contacts.
Alert Tracking — Monitor recent system alerts to proactively identify and address potential hardware or software failures.
Inventory Intelligence — Quickly audit your IT inventory without navigating complex web dashboards.
Secure API Integration — Uses your Atera X-API-KEY for safe and authenticated communication with your IT data.

The Atera 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 Atera to CrewAI via MCP

Follow these steps to integrate the Atera 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 Atera

Why Use CrewAI with the Atera MCP Server

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

Atera + CrewAI Use Cases

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

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

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

Atera MCP Tools for CrewAI (9)

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

create_ticket

Create a new support ticket

get_account_check

Verify Atera account connection

get_agent

Get details for a specific agent

get_customer

Get details for a specific customer

get_ticket

Get details for a specific ticket

list_agents

List all monitored agents (devices) in Atera

list_alerts

List recent system alerts

list_customers

List all customers (organizations)

list_tickets

List all support tickets

Example Prompts for Atera in CrewAI

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

"List all active IT agents in Atera."

"Show me the last 5 support tickets created."

"Check for any active system alerts."

Troubleshooting Atera MCP Server with CrewAI

Common issues when connecting Atera 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.

Atera + CrewAI FAQ

Common questions about integrating Atera 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.