Autotask FAQs

Question 1

What is Autotask-MCP?

Accepted Answer

Autotask-MCP is a Model Context Protocol (MCP) server written in Go that enables AI assistants (like Claude, GPT) to gain structured access and operational control over Kaseya Autotask PSA data, including tickets, projects, and client information.

Question 2

What deployment options are available for Autotask-MCP?

Accepted Answer

Autotask-MCP supports dual transport: stdio for direct integration with AI desktop clients (like Claude Desktop) and HTTP for gateway deployments using containers (Docker/Podman), including a secure gateway mode for multi-tenant environments.

Question 3

What Autotask data can AI assistants access and manage?

Accepted Answer

AI assistants can access and manage a wide range of Autotask entities, including tickets, companies, contacts, projects, time entries, billing, quotes, and more, through 59 specialized MCP tools covering all major entity types.

Question 4

How does Autotask-MCP optimize AI model usage and performance?

Accepted Answer

It minimizes Large Language Model (LLM) context usage with compact response formatting. For performance, it features an ID-to-name mapping cache with batch preloading and robust rate limiting/circuit breaking for API interactions.

Question 5

Are there built-in features for reliable API interaction?

Accepted Answer

Yes, Autotask-MCP includes built-in rate limiting (token bucket with 5000 req/hour and 3-thread concurrency) and a circuit breaker with automatic backoff to ensure robust and reliable interaction with the Autotask API.

Autotask

Autotask

主要功能

使用案例

主要功能

使用案例