Kaseya MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Kaseya through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"kaseya": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Kaseya, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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.
LangChain's ecosystem of 500+ components combines seamlessly with Kaseya through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Kaseya MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Kaseya via MCP
Why Use LangChain with the Kaseya MCP Server
LangChain provides unique advantages when paired with Kaseya through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Kaseya MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Kaseya queries for multi-turn workflows
Kaseya + LangChain Use Cases
Practical scenarios where LangChain combined with the Kaseya MCP Server delivers measurable value.
RAG with live data: combine Kaseya tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Kaseya, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Kaseya tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Kaseya tool call, measure latency, and optimize your agent's performance
Kaseya MCP Tools for LangChain (10)
These 10 tools become available when you connect Kaseya to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Kaseya to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersKaseya + LangChain FAQ
Common questions about integrating Kaseya MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.