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Atera MCP. Manage IT data and support tickets via natural conversation.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Works with every AI agent you already use

…and any MCP-compatible client

Atera MCP on Cursor AI Code Editor MCP Client Atera MCP on Claude Desktop App MCP Integration Atera MCP on OpenAI Agents SDK MCP Compatible Atera MCP on Visual Studio Code MCP Extension Client Atera MCP on GitHub Copilot AI Agent MCP Integration Atera MCP on Google Gemini AI MCP Integration Atera MCP on Lovable AI Development MCP Client Atera MCP on Mistral AI Agents MCP Compatible Atera MCP on Amazon AWS Bedrock MCP Support

Just plug in your AI agents and start using Vinkius.

Atera MCP Server lets your AI agent manage IT operations directly. It connects to your IT management platform to handle support tickets, monitor agents, and audit customer data via natural language prompts.

You can list agents, create tickets, check system alerts, and get detailed customer records—all without logging into a complex dashboard.

What your AI agents can do

Create ticket

Files a new support ticket into your helpdesk system.

Get account check

Verifies the connection status of your Atera account.

Get agent

Retrieves specific details for one monitored device (agent).

+ 6 more capabilities included
Get Agent Status

Retrieves specific details for a single monitored device, including its OS, IP, and current operational status.

Create Support Tickets

Files a new support ticket directly into your helpdesk system, logging the issue for IT follow-up.

View Customer Details

Retrieves full organizational and contact information for a specified customer account.

List All Devices

Generates a list of every monitored device (agent) in your Atera platform.

Track System Alerts

Pulls a list of recent system alerts, letting you know about potential hardware or software failures.

Manage Support Queue

Allows you to list all current support tickets or retrieve the full details of a single ticket.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
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AI Agent

Atera MCP Server: 9 Tools for IT Operations

Use these nine tools to let your AI agent query and manage data across agents, customers, and support tickets.

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create ticket

Files a new support ticket into your helpdesk system.

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get account check

Verifies the connection status of your Atera account.

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get agent

Retrieves specific details for one monitored device (agent).

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get customer

Gets all data for a specific customer account.

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get ticket

Retrieves all details for one specific support ticket.

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list agents

Lists every monitored device (agent) in your Atera platform.

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list alerts

Lists all recent system alerts across your monitored environment.

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list customers

Lists all customer organizations in your Atera platform.

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list tickets

Lists all support tickets currently in your helpdesk queue.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on every call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Atera, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 4,700+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Every connection is secured and compliant automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog every week

What you can do with this MCP connector

The Atera MCP Server lets your AI agent handle IT work straight out of the gate. Forget clicking through some massive dashboard; you just talk to your agent, and it does the heavy lifting. You'll use it to manage everything from support tickets and monitoring remote agents to pulling up customer data, all with just natural language prompts.

To get a handle on your gear, you can use list_agents to get a list of every monitored device. You can then call get_agent to pull specific details on a single machine, like its OS, IP address, and current status.

Need to know what's going on with the support desk? You can run list_tickets to see all the open tickets in your helpdesk queue, or you can use get_ticket to grab every detail for one specific ticket. And if you gotta file a new issue, just run create_ticket to file a support ticket right into your system.

When it comes to your clients, you can use list_customers to see all the organizations you service. You can then use get_customer to pull all the organizational and contact info for a specific client account.

For keeping an eye on the network, list_alerts gives you a rundown of every recent system alert across your environment. You'll also want to run get_account_check to verify your Atera account connection status.

This whole setup means your AI client uses tools like list_agents, get_agent, list_tickets, get_ticket, list_customers, get_customer, list_alerts, and create_ticket to manage your whole IT stack.

How Atera MCP Works

  1. 1 Your AI client sends a request like: 'List all agents with low disk space.'
  2. 2 The MCP Server identifies the need for list_agents and potentially list_alerts, executing the necessary tool calls sequentially.
  3. 3 The server compiles the raw data into a single, plain-language summary and gives it back to your client.

The bottom line is that you tell your agent what you need, and it does the multi-step data gathering for you, summarizing the results in one chat response.

Who Is Atera MCP For?

This is for the IT Administrator or MSP Technician who spends too much time clicking through dashboards. If you need to check a device status, audit a customer list, or open a ticket without logging into a web portal, this is for you. It cuts out the clicking.

IT Administrator

Checks server or workstation statuses and manages support queues by asking the agent instead of navigating the web UI.

Managed Service Provider (MSP) Technician

Monitors system alerts and updates ticket statuses directly from the chat interface while working on multiple client accounts.

Operations Manager

Retrieves customer and contact data for reports or strategic planning without manually exporting data from different sections of the platform.

What Changes When You Connect

  • Agent Status: Need to know if a server is online? Instead of checking a dashboard, ask your agent to list_agents. It gives you the OS, IP, and real-time status immediately.
  • Ticket Management: Don't lose track of issues. You can use list_tickets to see the queue, or create_ticket to file one instantly, all without leaving your chat window.
  • Customer Data: Forget jumping between company directories. Use get_customer to pull up all contact and organizational data for any client in a single query.
  • Alert Monitoring: System failures shouldn't be surprises. Run list_alerts to proactively pull a list of recent warnings and identify potential hardware issues before they cause downtime.
  • Audit Trails: Quickly check your entire setup. Run list_customers to see all connected organizations, or get_agent to drill down into one device's history.
  • Efficiency: The MCP Server combines these functions. You can ask, 'Show me the agents belonging to Customer X with active alerts,' and the agent runs multiple tools for you.

Real-World Use Cases

01

Diagnosing a new connection issue.

A customer calls about a slow connection. Instead of manually looking up the customer and then checking the device, the agent is prompted: 'What's the status of Acme Corp's main router?' The agent calls get_customer first, then get_agent with the relevant device ID. It returns the current status and alert history, letting you troubleshoot immediately.

02

Running a weekly compliance audit.

The Ops Manager needs to confirm all 50 client sites are covered. They ask the agent to 'List all customer accounts and their associated active agents.' The agent runs list_customers and then iterates through the results, calling list_agents to give a full, consolidated compliance report.

03

Handling a critical, time-sensitive outage.

The agent is alerted to a failure. The user asks, 'What's the latest on the server outage for Client B?' The agent calls list_alerts to confirm the issue, then get_ticket for the existing ticket ID to see the resolution notes, providing a complete picture in seconds.

04

Adding a new service line to a client.

A client needs a new user added and a service ticket filed. The user prompts: 'Add a ticket for Acme Corp regarding VPN access.' The agent uses create_ticket and can optionally reference the get_customer tool to pull the correct client ID, completing the task end-to-end.

The Tradeoffs

Manual Dashboard Diving

The tech has to switch between the 'Agents' tab, the 'Tickets' queue, and the 'Alerts' dashboard, copy-pasting IDs and switching contexts until they get a single answer.

Ask your agent to synthesize the data. Prompt: 'Show me all agents for Client XYZ that have an open ticket.' The agent executes get_customer (to find Client XYZ's ID), then list_agents filtered by that ID, and finally cross-references list_tickets to give one answer.

Over-relying on APIs

Writing complex, multi-step Python scripts to combine agent data, customer details, and ticket history. This code is brittle, hard to maintain, and requires dedicated development time.

Use the agent. Prompt: 'Pull the full context for ticket 1234: who owns it, what alerts are related, and who the customer is.' The agent handles the scripting logic using get_ticket, list_alerts, and get_customer calls.

Ignoring Data Dependencies

Running get_agent without knowing the specific customer ID, leading to ambiguous results or requiring multiple follow-up queries.

Start with the context. Always use get_customer first if the request relates to a client. Then, use the resulting IDs to narrow down subsequent calls like get_agent or list_tickets.

When It Fits, When It Doesn't

Use this server if your workflow requires cross-domain data synthesis. Specifically, if you need to correlate an agent's status (get_agent) with a customer's account details (get_customer) and an open support ticket (get_ticket)—all in one prompt—this is the tool. Don't use it if you only need to list all tickets; just use the list_tickets tool directly. Conversely, if you are building a dedicated reporting engine that needs to pull millions of historical records, a dedicated data warehouse connection is better than running multiple list calls. This server excels at immediate, operational lookups and action execution.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Atera. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

VINKIUS INFRASTRUCTURE

Cloud Hosted

Managed infra

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Sandboxed per request

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No stored credentials

DLP Enforced

Policy on every call

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How we secure it →

Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 9 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

create_ticket get_account_check get_agent get_customer get_ticket list_agents list_alerts list_customers list_tickets

Checking IT Status Used to Take Too Many Clicks

Today, checking if a device is online and who owns it is a manual process. You start in the dashboard, find the agent's serial number, then copy that ID into the 'Customer Search' tab. If you need the ticket history, you have to switch to the ticketing system and paste the ID there. It's a mess of tabs and copy-pasting.

With the Atera MCP Server, you just ask your agent: 'What's the status of the laptop for Client Alpha?' It runs the necessary tools and gives you the device status, the owner's details, and any related alerts—all in one response.

Atera MCP Server: Manage tickets, agents & customers

You don't have to open the helpdesk portal to see the queue. You don't have to go to the agent list to check status. You just ask the agent to `list_tickets` and `list_agents`, and it compiles the real-time data for you.

It changes the interaction from navigating systems to simply asking questions. You get the full operational picture, immediately.

Common Questions About Atera MCP

How do I use the Atera MCP Server to create a ticket? +

You use the create_ticket tool. Just tell your agent to file a ticket, and it handles the necessary data structure and submission to your helpdesk.

What is the difference between `list_agents` and `get_agent`? +

list_agents gives you a summary of every monitored device. get_agent requires a specific ID to pull the full, deep details for just one device.

Can I check customer info and then check alerts using Atera MCP Server? +

Yes. You can ask your agent to cross-reference the customer data. It uses get_customer to identify the client, and then uses list_alerts to show only the alerts related to that client.

Does the Atera MCP Server handle ticket history? +

Yes, you can use get_ticket to retrieve all historical information for a specific ticket ID, allowing you to track resolution details.

How do I use `list_customers` and `get_customer` together to find a company's details? +

You first use list_customers to get a list of all organizations. Then, you pass the specific ID from that list to get_customer to retrieve the full details for that single company.

What information does `list_alerts` provide about system issues? +

list_alerts gives you a list of recent system warnings and failures. It tells you the affected device, the type of alert (e.g., 'Disk Space Low'), and the time it occurred.

Is `get_account_check` necessary before I start using other tools? +

Yes, running get_account_check verifies your connection to Atera. This step confirms that your AI client has the necessary permissions and data access configured.

How can I find a specific support ticket using `get_ticket`? +

To find a specific ticket, you must use the unique Ticket ID in the get_ticket tool. This returns all associated details, including the status, priority, and assigned agent.

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.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

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