A
licenseNot graded
qualityB
maintenanceEnables LLMs to manage personal course timetables and flexible agendas with semester terms, week rules, swaps, conflict checks, and tasks, using SQLite persistence over stdio, Streamable HTTP, and SSE.
MIT
planner
by com.vigotime
Server Details
Compute real duty rosters from your AI assistant - rule-based vigotime planner, API key or OAuth.
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- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- ChatGPT
- –
- Claude
- –
TDQS
A3.9/5.0
Scored across 6 tools
Disambiguation5/5
Every tool has a clearly distinct purpose: account_balance for token info, example_payload for generating example requests, service_info for version details, and the solve_* trio (submit, status, result) covering the full lifecycle without overlap.
Naming Consistency4/5
All names use lowercase underscores, and the core workflow tools consistently start with 'solve_'. The administrative tools (account_balance, example_payload, service_info) follow a noun_noun pattern, which is slightly different but still readable and predictable.
Tool Count5/5
With 6 tools, the server is well-scoped: three tools for the core planning workflow, plus essential support tools for tokens, examples, and version info. No tool feels redundant or missing.
Completeness4/5
The solve lifecycle is fully covered (submit, status, result). The addition of example payload and account balance addresses common needs. Minor gaps like job cancellation or listing are absent but not critical for the main use case.
Available Tools
6 toolsaccount_balanceBInspect
Aktuelles Token-Guthaben der eigenen Organisation (Solves kosten Tokens).
Inputs: no named parameters. Returns: object
example_payloadAInspect
Ein sofort lauffähiger Beispiel-Payload für solve_submit. kind='simple' (1 Woche, 3 MA, 2 Schichten), kind='wishes' (Wünsche, Social Points, Wunschkosten) oder kind='rules' (ArbZG-Planungsregeln: 11 h Ruhe hart + max. 5 Folgetage — zeigt, wie Regeln den Plan formen; Param-Namen sind exakt, falsche werden still ignoriert).
Inputs: kind. Returns: object
service_infoAInspect
Build-Stand des laufenden Planner-Service: version (fortlaufende Build-Nummer), gitCommit, buildTime (UTC). Fuer Support-Anfragen und um Ergebnisse einem Software-Stand zuzuordnen.
Inputs: no named parameters. Returns: object
solve_resultAInspect
Ergebnis eines fertigen Solve-Jobs: assignments [{employee_id, shift_id, date}], unassigned_shifts mit Begründung, Statistiken.
Inputs: job_id (required). Returns: object
solve_statusAInspect
Status eines Solve-Jobs (pending/running/completed/failed) inkl. Fortschritt.
Inputs: job_id (required). Returns: object
solve_submitAInspect
Reicht einen Dienstplan-Solve-Job ein. payload ist der self-contained Request: Pflicht: start_date, end_date (ISO), department {id}, employees [{id, contractHoursPerWeek, qualificationIds}], shifts [{id, departmentId, name, startTime, endTime, shiftType, minStaff}]. Optional u. a.: planning_rules, wishes, vacations, sick_leaves, holiday_dates, locked_assignments, social_points, wish_costs, config {timeout_seconds}. vacations darf Termine NACH end_date enthalten — noetig bei Datums-Kopplungsregeln mit Block-Tagen hinter dem Fenster (siehe Instructions). Datenschutz: IDs statt Namen verwenden. Antwort: {job_id, status}.
Inputs: payload (required). Returns: object
Tool Schema Changelog
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