Kaseya MCP Server for CrewAI 10 tools — connect in under 2 minutes
Connect your CrewAI agents to Kaseya through Vinkius, pass the Edge URL in the `mcps` parameter and every Kaseya tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="Kaseya Specialist",
goal="Help users interact with Kaseya effectively",
backstory=(
"You are an expert at leveraging Kaseya 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 Kaseya "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 10 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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.
When paired with CrewAI, Kaseya becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Kaseya 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
- 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 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 Kaseya to CrewAI via MCP
Follow these steps to integrate the Kaseya 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 10 tools from Kaseya
Why Use CrewAI with the Kaseya MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Kaseya 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
Kaseya + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Kaseya MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Kaseya 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 Kaseya, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Kaseya 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 Kaseya against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Kaseya MCP Tools for CrewAI (10)
These 10 tools become available when you connect Kaseya to CrewAI 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 CrewAI
Ready-to-use prompts you can give your CrewAI 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 CrewAI
Common issues when connecting Kaseya to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Kaseya + CrewAI FAQ
Common questions about integrating Kaseya MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
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?
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?
Can CrewAI agents call multiple MCP tools in parallel?
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)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect Kaseya with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Kaseya to CrewAI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.