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Developer ToolsAuto-generatedScore: 34

Datto|Autotask PSA Rest API MCP Server

The Datto Autotask Professional Services Automation (PSA) REST API is a comprehensive, enterprise-grade integration gateway designed for Managed Service Providers (MSPs) and IT service organizations.

Quick Start Summary

The Datto|Autotask PSA Rest API MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the Datto|Autotask PSA Rest API API through natural language. It exposes 10 API endpoints as callable tools, such as ActionTypes_CreateEntity, ActionTypes_UpdateEntity, ActionTypes_PatchEntity, and more. No authentication is required — setup takes approximately 30 seconds. The server uses STDIO transport and can be installed by running npx -y @mcp/autotask-net. This integration is sourced from the auto Datto|Autotask PSA Rest API OpenAPI specification (vv1) and has a quality score of 34/99 (fair documentation coverage).

10Endpointstools mapped
NoneAuthopen access
34/99Qualityfair
~30 secSetupno auth

Server Details

Category
Developer Tools
Authentication
None
Endpoints
10 operations
Transport
STDIO
Spec Version
vv1
Install Command
npx -y @mcp/autotask-net

Environment Variables

DATTO_AUTOTASK_PSA_REST_API_API_KEY

Example: your_datto_autotask_psa_rest_api_api_key

Top Endpoints

POST
/V1.0/ActionTypes

ActionTypes_CreateEntity

PUT
/V1.0/ActionTypes

ActionTypes_UpdateEntity

PATCH
/V1.0/ActionTypes

ActionTypes_PatchEntity

GET
/V1.0/ActionTypes/entityInformation

ActionTypes_QueryEntityInformation

GET
/V1.0/ActionTypes/entityInformation/fields

ActionTypes_QueryFieldDefinitions

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📖 Detailed MCP Integration Guide

A technical breakdown of capabilities, agent workflows, and security/configuration best practices.

Capabilities & Use Cases
The Datto Autotask Professional Services Automation (PSA) REST API is a comprehensive, enterprise-grade integration gateway designed for Managed Service Providers (MSPs) and IT service organizations. Provided by Datto, a global provider of security and cloud-based software solutions, this API serves as the programmatic backbone for the Autotask platform, enabling deep integration and automation of core business management functions. Its primary purpose is to allow external systems, custom applications, and automation scripts to interact with the vast repository of data within Autotask, which includes client information, service tickets (tickets), projects, contracts, billing, resources, and configuration items (assets). The specific endpoints provided, centered around "ActionTypes," offer granular control over the system's fundamental workflow actions—the discrete steps or statuses that define the lifecycle of a service ticket, project task, or other entity. These endpoints empower developers to read, create, update, and query the definitions and states of these critical process drivers, facilitating everything from custom reporting to automated ticket routing and status management.
🤖AI Agent Value
When this API is exposed as a set of tools to an AI coding assistant via the Model Context Protocol (MCP), it transforms the assistant into a powerful automation and data synthesis engine for IT service workflows. The value is profound: instead of merely generating code snippets, the AI agent can directly and dynamically interact with the live PSA environment. It can understand the current state of operations by querying ActionTypes, identify bottlenecks by analyzing ticket status distributions, or even propose and implement workflow optimizations by programmatically updating action definitions. For a developer, this means shifting from manual GUI navigation and ad-hoc scripting to instructing a context-aware agent that can execute precise data operations, enforce consistency across large datasets, and accelerate the development of integration logic by handling the CRUD (Create, Read, Update, Delete) operations itself based on natural language instructions.
💬Example Workflows
Practically, a developer can instruct an AI agent to perform a wide array of dynamic tasks to streamline IT service delivery. For instance, the agent can be tasked to "query all ActionTypes associated with 'Service Desk' tickets and generate a summary report of active vs. closed statuses to identify workflow inefficiencies." It could be instructed to "create a new, non-billable action type named 'Client Follow-Up' and configure its subsequent workflow transitions to ensure tickets are automatically queued for customer feedback after closure." Furthermore, the agent could automate recurring maintenance by executing a command like "update all ActionTypes flagged for internal testing to a 'Development' queue, assigning them to the QA resource pool and setting an expiration date for the next month," thereby managing test environments without manual ticket manipulation.
🛡️Security & Auth
Critical to the secure and effective deployment of an MCP server for this API is the proper handling of authentication and authorization, despite the initial description noting "None." The Autotask API actually requires OAuth 2.0 authentication or API key-based credentials for all requests. Developers must therefore treat the MCP server as a privileged integration point. Best practices include storing credentials in a secure vault, not in client-side code; implementing the principle of least privilege by creating a dedicated API user with only the specific permissions (e.g., read/write for ActionTypes) required for the intended automation tasks; and rigorously validating and sanitizing any data inputs before they are sent to the API to prevent injection attacks. Configuration guidelines must detail the secure setup of these credentials within the MCP server environment, ensure all API calls are made over HTTPS, and implement robust error handling and logging to monitor for and respond to unauthorized access attempts or anomalous requests.

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