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 Pydantic AI 11 tools — connect in under 2 minutes

Name: HaloPSA
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 11 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect HaloPSA through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to HaloPSA "
            "(11 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in HaloPSA?"
    )
    print(result.data)

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.

Pydantic AI validates every HaloPSA tool response against typed schemas, catching data inconsistencies at build time. Connect 11 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the HaloPSA MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 11 tools from HaloPSA with type-safe schemas

Why Use Pydantic AI with the HaloPSA MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your HaloPSA integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your HaloPSA connection logic from agent behavior for testable, maintainable code

HaloPSA + Pydantic AI Use Cases

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

Type-safe data pipelines: query HaloPSA with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple HaloPSA tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query HaloPSA and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock HaloPSA responses and write comprehensive agent tests

HaloPSA MCP Tools for Pydantic AI (11)

These 11 tools become available when you connect HaloPSA to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

HaloPSA + Pydantic AI FAQ

Common questions about integrating HaloPSA MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your HaloPSA MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.