halopsa-mcp

halopsa-mcp: Connects HaloPSA to AI assistants via MCP

halopsa-mcp, developed by Wyre Technology, bridges HaloPSA and AI clients using the Model Context Protocol (MCP) to expose service desk context. The tool lets compatible AI clients query tickets, client and site data, and execute create or update actions through direct HaloPSA API calls. Key elements include MCP support, real-time API access, and tenant-scoped OAuth2 authentication. Managed Service Providers and IT desk teams gain conversational access to PSA records without moving data between systems.

It converts HaloPSA records into queryable context for AI-driven workflows

The tool functions as an MCP server that presents HaloPSA data to AI assistants, enabling natural-language queries against ticket history, status, and client records. It supports automated actions initiated by the AI client, such as creating or updating service desk records. Use cases include ticket analysis, fast lookups of site details, and conversational retrieval of case histories, all performed by relaying HaloPSA API responses to the model.

Reliability depends on API scope and the connected AI client

halopsa-mcp provides real-time HaloPSA API access, so the accuracy of answers reflects the underlying PSA data and the AI client’s interpretation of that data. Automated updates depend on the API credentials’ permissions, so control over write access determines how much the tool can change records. When using an MCP-compatible client the tool supplies structured context rather than performing independent verification of outputs.

Deployment requires specific inputs and a runtime environment

Running the server needs a Node.js environment and an MCP-compatible client on desktop platforms. Required inputs are a valid HaloPSA instance, API credentials (Client ID and Secret), and tenant-specific configuration for secure authentication. Supported client platforms include Windows, macOS, and Linux for the AI front end. The project is open-source, so teams can extend or modify request handling if they host the server themselves.

It targets technically capable MSP teams and developers

Community feedback shows this project is mainly adopted by technical users comfortable with GitHub deployments, making it better suited to in-house developers or MSPs with engineering support. The open-source architecture permits custom extensions and integration with existing workflows, but non-technical teams should plan for configuration, maintenance, and testing of prompt-to-action mappings before operational use.

Best suited to MSPs with development capacity and governance processes

halopsa-mcp is a practical option for teams that maintain development and operations resources and need direct AI access to PSA records. It requires repository-based deployment and run-time configuration, so plan for developer time and testing. A recommended practice is to use narrowly scoped API credentials and human review for any AI-initiated changes, while iterating prompt templates to reduce misapplied actions.