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 LlamaIndex 9 tools — connect in under 2 minutes

Name: Atera
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Atera as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Atera. "
            "You have 9 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Atera?"
    )
    print(response)

asyncio.run(main())

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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 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.

LlamaIndex agents combine Atera tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

Follow these steps to integrate the Atera MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 9 tools from Atera

Why Use LlamaIndex with the Atera MCP Server

LlamaIndex provides unique advantages when paired with Atera through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Atera tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Atera tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Atera, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Atera tools were called, what data was returned, and how it influenced the final answer

Atera + LlamaIndex Use Cases

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

Hybrid search: combine Atera real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Atera to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Atera for fresh data

Analytical workflows: chain Atera queries with LlamaIndex's data connectors to build multi-source analytical reports

Atera MCP Tools for LlamaIndex (9)

These 9 tools become available when you connect Atera to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

Common issues when connecting Atera to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Atera + LlamaIndex FAQ

Common questions about integrating Atera MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.