Autotask Search
Related Servers
Alternatives to Autotask Search
No user-submitted related servers found.
Related Servers
- AlicenseBqualityCmaintenanceGives AI assistants direct access to Autotask PSA for searching tickets, creating time entries, managing companies, projects, and more via natural language.100Apache 2.0
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to interact with Autotask PSA through natural language, providing tools for ticket triage, time logging, company lookups, project management, and more.39 npmApache 2.0
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to interact with AutoTask PSA data, supporting natural language ticket queries, updates, notes, and bulk export.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to directly query and manage Autotask PSA data through natural language, including ticket triage, time entry creation, company lookups, project management, billing review, and more.Apache 2.0
- AlicenseBqualityCmaintenanceEnables AI assistants to directly interact with Autotask PSA for ticket triage, time logging, company lookups, project management, and more via natural language.9839 npmApache 2.0
- FlicenseNot gradedqualityDmaintenanceEnables interaction with Autotask REST API for ticket management and querying through natural language.-
TDQS
Scored across 11 tools
Some tools have overlapping purposes, particularly get_ticket_details, get_tickets_details, and get_tickets_notes, which all retrieve ticket information and notes. Names like 'get_tickets_details' and 'get_tickets_notes' could easily be confused, though descriptions help clarify the distinctions. The other retrieval tools (by company, contact, queue) are clearly distinct.
Tool names follow a consistent verb_noun pattern with 'search' and 'get' prefixes. Minor inconsistencies exist: get_ticket_details is singular while get_tickets_details is plural, and 'get_tickets_by_queue' uses 'by' while 'get_tickets_company' and 'get_tickets_contact' do not. Overall, the pattern is predictable and readable.
With 11 tools, the server is well-scoped for a search-oriented read-only API. Each tool serves a distinct retrieval purpose, and the count is within the ideal range of 3-15 tools.
The tool set provides a comprehensive read-only surface for ticket searching and retrieval, covering search by text, company, contact, queue, and related tickets, plus batch detail and notes retrieval. Minor gaps exist, such as no direct company/contact detail retrieval beyond search, but the core workflows are covered.