How to Use the HaloPSA MCP in LangChain

Q: How do I pass HaloPSA tools to a LangChain agent?

Install langchain-mcp-adapters and langgraph via pip. Initialize the MultiServerMCPClient with the server URL, call client.gettools(), and pass the returned tools directly to createagent.

Q: Can I connect other servers alongside HaloPSA in LangChain?

Yes, the MultiServerMCPClient aggregates multiple MCP servers. You can combine HaloPSA tools with database or vector store tools inside the same LangChain agent configuration.

Run multi-step HaloPSA operations in LangChain chains that update tickets and query assets based on real-time data.

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Connect HaloPSA MCP to LangChain

Create your Vinkius account to connect HaloPSA to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup HaloPSA with LangChain

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Chain HaloPSA Ticket Triage in LangChain

The `list_tickets` tool pulls unassigned HaloPSA tickets directly into your LangChain ReAct agent sequence. Your agent checks the ticket details and runs `list_teams` to identify which group has the right availability for the job. Once the agent finds the target group, it calls `perform_ticket_action` to assign the work and update the HaloPSA ticket status while LangSmith traces the chain. You get complete visibility into how the agent decided to route the request.

Sync Customer Contracts with LangChain Pipelines

The `list_contracts` tool pulls live HaloPSA SLA terms into your LangChain execution chains. When a customer submits a request, the agent runs `list_clients` to find their profile and verify their active contract status. This verification happens before the agent calls `create_ticket` to log the issue. By chaining these tools, your LangChain agent prevents uncontracted HaloPSA tickets from hitting your queue.

Audit Assets and Invoices via LangChain MCP Server

The `list_assets` tool exposes your HaloPSA hardware inventory to LangChain pipelines. Your agent matches these assets against billing records retrieved via `list_invoices` to find discrepancies. If the LangChain agent detects a missing asset charge, it triggers `create_ticket` to alert the HaloPSA billing team. This MCP Server integration runs stateless by default, but you can use session context for multi-step investigations.

Setup guide

Set up HaloPSA MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes HaloPSA tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "halopsa-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent HaloPSA transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HaloPSA. 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.

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Common questions about HaloPSA MCP in LangChain

Install `langchain-mcp-adapters` and `langgraph` via pip. Initialize the `MultiServerMCPClient` with the server URL, call `client.get_tools()`, and pass the returned tools directly to `create_agent`.

Yes, LangChain handles this by chaining tool outputs. Your agent can run `list_tickets` to find open items, inspect a specific one with `get_ticket`, and then use `perform_ticket_action` to update it in a single execution loop.

You get complete visibility through LangSmith. Every call to `list_users` or `create_ticket` is logged, showing latency, token usage, and exact payload schemas for debugging.

Yes, the `MultiServerMCPClient` aggregates multiple MCP servers. You can combine HaloPSA tools with database or vector store tools inside the same LangChain agent configuration.

The server runs in an isolated V8 sandbox on Vinkius, meaning your ticket, contract, and invoice details are never persisted. All communication goes through a single token, and your API credentials stay encrypted in transit.

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