Cryotos

Cryotos CMMS SAAS application

Category: Operations
Primary Subcategory: ERP & Operations Resource Tools

View in the ChatGPT registry

Integration details

Description

MCP for the Maintenance team to connect to the Cryotos CMMS application and fetch key details for evaluation.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Operations
Primary Subcategory: ERP & Operations Resource Tools
Secondary Subcategories: None listed
Brand: Cryotos
Access: Account required
First tracked: 2026-09-04
Tool count: 40
Geography: US

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Primary Subcategory

Competing in ChatGPT ERP & Operations Resource Tools

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Listed in alphabetical order

Primary Subcategory

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Tools

40 tools agents can invoke

Primary similarity search for assets by name, serial number, or model - use this first for asset lookups.
Primary location lookup tool that searches location name using backend similarity-search.
List departments. Params: page, size.
Get project records. Params: page, size. Use before schedule creation with projectId.
Get all states with codes. No params.
Get schedule tags (mandatory for schedules). Params: page, size. Fetch before schedule creation.
List user groups. Params: page, size.
List system users. Params: page, size.
Overall asset maintenance/downtime reliability timeline. Returns a time series of asset availability and reliability metrics per bucket: availableHours, breakdownOccurrence, breakdownHours, MTTR (mean time to repair), MTBF (mean time between failures), and availability %. Date behaviour: - is_yearly_filter=True (DEFAULT): monthly buckets across a 12-month window starting at from_date. - is_yearly_filter=False: daily buckets across a single month; set from_date to the 1st of the preferred month to view that month. - from_date is optional (YYYY-MM-DD). If omitted, it defaults to Jan 1 of the current year. Note: to_date is derived server-side from from_date + is_yearly_filter and cannot be set here. Optional filters (all AND-combined): asset_id (when omitted, only active assets are included), department_id, location_id, location_path (ltree subtree; takes precedence over location_id), category_id, customer_id, workflow_id.
Asset-wise downtime MIS dashboard: one paginated row per asset with reliability KPIs (breakdownOccurrence, breakdownHours, MTTR, MTBF, lostHours, availableHours, availability, workOrderCount). Date behaviour: - is_yearly_view=True (DEFAULT): 12-month window starting at start_date. - is_yearly_view=False: single-month window; set start_date to the 1st of the preferred month. - start_date is optional (YYYY-MM-DD). If omitted, it defaults to Jan 1 of the current year. start_date is required by the backend (it derives the end date from it), so it is always sent. Optional filters (all AND-combined): asset_id, location_id, location_path (ltree subtree; takes precedence over location_id), category_id, department_id, customer_id, workflow_id. Pagination: page>=0, size 1-50.
Search assets by text. Params: search_text (optional), page, size.
Search asset categories. Params: search_text, page, size.
Search companies (CUSTOMER type). Params: search_text, page, size.
Get request status counts. Mandatory: from_date, to_date (YYYY-MM-DD), request_type (ALL/WORK_REQUEST/SCHEDULE_REQUEST). Conditional: category_id→category_path, location_id→location_path, company_id→company. Optional: workflow_id, priority, asset_id, department_id, hold_by_id, raised_by_id, state_id, usergroup_id, workflow_tag_id, project_id.
Get active email templates. Optional: search_text, page, size.
Get assigned employee efficiency. Mandatory: from_date, to_date, request_type. Same filters as get_dashboard_status. Pagination: page≥0, size 1-50.
Get form/checklist efficiency metrics. Same params as get_employee_efficiency.
Inventory count, parts count, and cost grouped by ABC classification (A/B/C). All filters are optional: location_id (int), warehouse_id (int), from_date and to_date (YYYY-MM-DD). Omit filters to get an unscoped dashboard view.
Inventory count, parts count, and cost grouped by department. All filters are optional: location_id (int), warehouse_id (int), from_date and to_date (YYYY-MM-DD). Omit filters to get an unscoped dashboard view.
Monthly inward vs outward movement counts and cost (time series by year-month). All filters are optional: location_id (int), warehouse_id (int), from_date and to_date (YYYY-MM-DD). Omit filters to get an unscoped dashboard view.
Consumption (outward) count and cost broken down by location and spare. All filters are optional: location_id (int), warehouse_id (int), from_date and to_date (YYYY-MM-DD). Omit filters to get an unscoped dashboard view.
Inventory count, parts count, and cost grouped by location. All filters are optional: location_id (int), warehouse_id (int), from_date and to_date (YYYY-MM-DD). Omit filters to get an unscoped dashboard view.
Spares currently below their minimum quantity (low-stock list) with parts count, minimum quantity, and cost. All filters are optional: location_id (int), warehouse_id (int), from_date and to_date (YYYY-MM-DD). Omit filters to get an unscoped dashboard view.
Most-consumed spares ranked by outward (consumption) count and cost. All filters are optional: location_id (int), warehouse_id (int), from_date and to_date (YYYY-MM-DD). Omit filters to get an unscoped dashboard view.
Inventory count, parts count, and cost grouped by spare priority. All filters are optional: location_id (int), warehouse_id (int), from_date and to_date (YYYY-MM-DD). Omit filters to get an unscoped dashboard view.
Inventory count, parts count, and cost grouped by spare group / inventory tag. All filters are optional: location_id (int), warehouse_id (int), from_date and to_date (YYYY-MM-DD). Omit filters to get an unscoped dashboard view.
Inventory count, parts count, and cost grouped by stock health status (e.g. healthy / low / out of stock / excess). All filters are optional: location_id (int), warehouse_id (int), from_date and to_date (YYYY-MM-DD). Omit filters to get an unscoped dashboard view.
Inventory KPI summary tiles: total inventory count, parts count, total cost, and low-stock / out-of-stock / excess-stock part counts. All filters are optional: location_id (int), warehouse_id (int), from_date and to_date (YYYY-MM-DD). Omit filters to get an unscoped dashboard view.
Parts count and cost grouped by supplier. All filters are optional: location_id (int), warehouse_id (int), from_date and to_date (YYYY-MM-DD). Omit filters to get an unscoped dashboard view.
License dashboard summary counts across the whole organization: total, expired, critical (renewal within 7 days), expiringSoon (8-30 days), upToDate (>30 days), thirtyToSixtyDays, sixtyPlusDays, active, and inactive. Counts are relative to today's date. Note: this endpoint aggregates over ALL licenses in the tenant and does not apply any filter.
Search licenses with filters, paginated. All filters optional and AND-combined: search_text (matches license name/description), license_tag_id, asset_id, location_id, active (bool), user_id (int, matches the license's assigned users), and a date filter driven by request_type. Date behaviour: request_type='expiring' returns licenses whose renewal_date is between from_date and to_date; any other non-'all' request_type (e.g. 'expired') returns licenses with renewal_date < from_date; request_type='all' or omitted applies no date filter. Dates are YYYY-MM-DD. Pagination: page>=0, size 1-50. Returns a paginated list of licenses.
Search locations by filters. Optional: customer_id, search_text, parent_location_id, page, size. Validation: page≥0, size 1-50.
Get efficiency of users who raised requests. Same params as get_employee_efficiency.
Stock (inventory) ledger: paginated per-transaction inward/outward movement history for spares/parts, with received & issued quantity, rate, gross, running available quantity, and request/supplier/MRN references. All filters optional and AND-combined: warehouse_id (int), inventory_id (int), filter_date (YYYY-MM-DD; filters a SINGLE calendar day, not a range), voucher (one of INWARD, OUTWARD, OPEN_STOCK, EXCESS_STOCK, SHORTAGE_STOCK, MATERIAL_RECEIPT_NOTE, TRANSFER_IN, TRANSFER_OUT). Pagination: page>=0, size 1-50.
Get schedule template by workflow. Mandatory: workflowId. Returns: single template DTO.
Retrieve work requests. Optional: locationId, status (Yet to Create/Closed/WIP/Rejected), fromDate, toDate, raisedById, searchFilter, assetId, companyId, categoryId, priority, isPublicWorkRequest, manager, supervisor, page, size.
Get work requests summary filtered by date range and optional filters. Mandatory: fromDate, toDate (YYYY-MM-DD). Optional: companyId, categoryId, assetId, raisedById, isPublicWorkRequest.
List workflow groups/tags. Params: page, size.
Search workflows by type. Mandatory: templateType (workRequest OR scheduleTemplate). Optional: search_text, page, size.
Search departments (URL-encoded query). Params: query (mandatory), page, size.

Cryotos FAQ

How do I improve a ChatGPT Plugin's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Cryotos alternatives on ChatGPT?

As of 2026-09-04, Cryotos competes with Baukosten-Cockpit, Butiksoft, Certifier, Counter, DataFlowr, DEWA, Gastrosync, inSitu Sales, Kitchen Agent, MenuFresh, Mextic, NexTrade360, Productive, ProSchool360, RoadOps, VesselTwin, Worke in ChatGPT ERP & Operations Resource Tools, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.