How to Use the HaloPSA MCP in LlamaIndex

Q: How do I register HaloPSA tools in LlamaIndex?

Install llama-index-tools-mcp and instantiate BasicMCPClient with your server URL. Wrap it in McpToolSpec and call totoollistasync() to pass the tools to your FunctionAgent.

Q: Can LlamaIndex search through HaloPSA contracts and invoices?

Yes, LlamaIndex can index data from listcontracts and listinvoices. Your agent then performs semantic searches over this information to verify billing status during customer support sessions.

Q: Does LlamaIndex support filtering HaloPSA MCP tools?

Yes, you can use the allowedtools filter when setting up the MCP tool specification. This lets you restrict your agent to specific operations, like only allowing getticket and listtickets.

Q: How does LlamaIndex prevent stale data from HaloPSA?

You can configure LlamaIndex to pull fresh data using listusers and listsites during query pipeline execution. This ensures your agent works with real-time directory information rather than cached files.

Index live HaloPSA tickets and assets into LlamaIndex vector stores for accurate RAG search.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect HaloPSA MCP to LlamaIndex

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

GDPR Free for Subscribers

Setup HaloPSA with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Index HaloPSA Assets for LlamaIndex RAG

The `list_assets` tool retrieves your HaloPSA hardware records to feed them directly into LlamaIndex vector indexes. Your agent queries this indexed data to match incoming user issues with specific configuration items. By grounding your LlamaIndex agent in actual HaloPSA asset data, you eliminate hallucinations about client hardware. The agent runs semantic searches over past configurations to find known issues before creating new records.

Query Ticket History with LlamaIndex MCP Server

The `list_tickets` tool exports historical HaloPSA service desk data for semantic indexing in LlamaIndex. Your agent reads past resolutions and matches them against current problems to suggest proven fixes. When a match is found, the LlamaIndex agent uses `perform_ticket_action` to append the historical solution as a note. This keeps your knowledge base updated with live data from your service desk.

Map Sites and Clients in LlamaIndex Indexes

The `list_clients` tool provides immediate access to HaloPSA customer profiles for context-aware LlamaIndex indexing. Your agent combines this with location data from `list_sites` to build a geographic map of your service operations. When a LlamaIndex agent processes an incoming request via `create_ticket`, it checks this map to assign the correct local team. This ensures your service desk routing respects client locations and contract terms.

Setup guide

Set up HaloPSA MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all HaloPSA MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to HaloPSA tools.",
)
response = await agent.run("List recent HaloPSA data")

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect HaloPSA now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about HaloPSA MCP in LlamaIndex

Install `llama-index-tools-mcp` and instantiate `BasicMCPClient` with your server URL. Wrap it in `McpToolSpec` and call `to_tool_list_async()` to pass the tools to your `FunctionAgent`.

Yes, LlamaIndex can index data from `list_contracts` and `list_invoices`. Your agent then performs semantic searches over this information to verify billing status during customer support sessions.

Yes, you can use the `allowed_tools` filter when setting up the MCP tool specification. This lets you restrict your agent to specific operations, like only allowing `get_ticket` and `list_tickets`.

You can configure LlamaIndex to pull fresh data using `list_users` and `list_sites` during query pipeline execution. This ensures your agent works with real-time directory information rather than cached files.

Yes, your site, user, and ticket data is processed on-the-fly inside an ephemeral V8 sandbox. Vinkius handles the authorization securely, meaning your raw HaloPSA credentials are never exposed to the LLM or stored on disk.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript