How do I set up my HaloPSA API credentials?

Log in as an Administrator, go to **Configuration > Integrations > Halo API**. In 'View Applications', create a new app with the 'Agent' login type and grant the necessary permissions. You will receive your Client ID and Client Secret there.

What are the Resource and Auth URLs?

The Resource URL is typically `https://your-tenant.halopsa.com/api` and the Auth URL is `https://your-tenant.halopsa.com/auth`. Replace 'your-tenant' with your actual HaloPSA instance name.

Can I perform actions on tickets, like changing status?

Yes! Use the `perform_ticket_action` tool by providing the ticket ID and the specific action ID configured in your Halo instance. You can also add an optional note.

Is the integration secure?

Yes, it uses industry-standard OAuth2 Client Credentials flow. Your credentials are encrypted and stored securely within the Vinkius Cloud infrastructure.

HaloPSA MCP Server for LangChain 11 tools — connect in under 2 minutes

Name: HaloPSA
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 11 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect HaloPSA through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 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({
        "halopsa": {
            "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 HaloPSA, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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 HaloPSA MCP Server

Connect your HaloPSA instance to any AI agent and take full control of your service desk and PSA workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with HaloPSA through native MCP adapters. Connect 11 tools via the 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

Ticket Management — List all tickets, retrieve detailed information, and create new support requests effortlessly.
Client & User Oversight — Access lists of clients (customers) and users defined in your system to ensure data accuracy.
Asset Tracking — Monitor the hardware and software assets managed within HaloPSA.
Team Coordination — Browse your organizational teams and sites to facilitate better resource allocation.
Financial Insights — Retrieve lists of invoices and customer contracts for quick status checks.
Action Execution — Perform updates on tickets, add internal notes, or change statuses directly from the chat.

The HaloPSA MCP Server exposes 11 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 HaloPSA to LangChain via MCP

Follow these steps to integrate the HaloPSA 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 11 tools from HaloPSA via MCP

Why Use LangChain with the HaloPSA MCP Server

LangChain provides unique advantages when paired with HaloPSA through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine HaloPSA 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 HaloPSA queries for multi-turn workflows

HaloPSA + LangChain Use Cases

Practical scenarios where LangChain combined with the HaloPSA MCP Server delivers measurable value.

RAG with live data: combine HaloPSA tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query HaloPSA, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain HaloPSA tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every HaloPSA tool call, measure latency, and optimize your agent's performance

HaloPSA MCP Tools for LangChain (11)

These 11 tools become available when you connect HaloPSA to LangChain via MCP:

create_ticket

Create a new ticket in HaloPSA

get_ticket

Get detailed information about a specific ticket

list_assets

List all assets defined in HaloPSA

list_clients

List all clients (customers) in HaloPSA

list_contracts

List all customer contracts

list_invoices

List all invoices in HaloPSA

list_sites

List all sites/locations

list_teams

List all teams configured in the service desk

list_tickets

List all tickets in HaloPSA

list_users

List all users in the HaloPSA instance

perform_ticket_action

Perform an action on a ticket (e.g., add note, change status)

Example Prompts for HaloPSA in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with HaloPSA immediately.

"List all open tickets assigned to me."

"Add an internal note to ticket ID 1021: 'Waiting for vendor feedback'."

"Show me the asset list for Client 'Acme Corp'."

Troubleshooting HaloPSA MCP Server with LangChain

Common issues when connecting HaloPSA to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

HaloPSA + LangChain FAQ

Common questions about integrating HaloPSA MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use 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?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.