ChatGPT Plugin

Cryotos

Cryotos CMMS SAAS application

View in the ChatGPT registry

Brand: Cryotos

Category: Operations
Primary Subcategory: ERP & Operations Resource Tools

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

View Category

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.

FAQs

Cryotos ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve Cryotos's ChatGPT Plugin 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 2026-10-19, Cryotos competes with 101, AllEars.Vet, allmanager, APMS.ai, Axle Connect, B2 Portal, Baukosten-Cockpit, BauLedger and 69 more 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.