Can I see the software installed on a specific device?

Yes, the `get_agent_details` tool returns comprehensive information about the target device, including installed software, hardware specs, and network status.

How do I monitor active alerts across all my clients?

You can use the `list_alarms` tool to fetch all current system alerts and agent-triggered alarms from your VSA 10 instance in real-time.

Is it possible to list available automation scripts?

Absolutely. The `list_scripts` and `list_workflows` tools provide visibility into your entire library of automation assets configured in Kaseya.

Kaseya MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Kaseya
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Kaseya through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Kaseya "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Kaseya?"
    )
    print(result.data)

asyncio.run(main())

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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 Kaseya MCP Server

Connect your Kaseya VSA 10 instance to your AI agent for comprehensive IT management and remote monitoring. This MCP server enables your agent to interact with devices, scripts, and automation workflows across your managed environments.

Pydantic AI validates every Kaseya tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Device Visibility — List all managed agents and drill down into hardware/software details
Inventory Tracking — Query organizations, groups, and assets to maintain a clear picture of your IT estate
Automation Management — List and inspect scripts and automation workflows ready for deployment
Security Monitoring — Access audit logs and active alarms to stay on top of system health and threats
Operational Insights — Retrieve system information and health metadata for your VSA 10 instance

The Kaseya MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI 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 Kaseya to Pydantic AI via MCP

Follow these steps to integrate the Kaseya MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

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 10 tools from Kaseya with type-safe schemas

Why Use Pydantic AI with the Kaseya MCP Server

Pydantic AI provides unique advantages when paired with Kaseya through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Kaseya integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Kaseya connection logic from agent behavior for testable, maintainable code

Kaseya + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Kaseya MCP Server delivers measurable value.

Type-safe data pipelines: query Kaseya with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Kaseya tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Kaseya and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Kaseya responses and write comprehensive agent tests

Kaseya MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Kaseya to Pydantic AI via MCP:

get_agent_details

Get detailed information for a specific agent

get_system_info

Get VSA 10 system information

list_agents

Use this to check device availability and status. List all managed agents (devices) in Kaseya

list_alarms

List active system alarms

list_assets

List managed assets

list_audit_logs

List recent audit logs

list_groups

List all machine groups

list_organizations

List all organizations in Kaseya

list_scripts

List agent scripts

list_workflows

List automation workflows

Example Prompts for Kaseya in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Kaseya immediately.

"List all agents that are currently offline in Kaseya."

"Show me the recent audit logs for my VSA instance."

"List all machine groups in the organization."

Troubleshooting Kaseya MCP Server with Pydantic AI

Common issues when connecting Kaseya to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Kaseya + Pydantic AI FAQ

Common questions about integrating Kaseya MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Kaseya MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.