MCP server

Vigotime Planner Official

com.vigotime/planner

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Compute real duty rosters from your AI assistant - rule-based vigotime planner, API key or OAuth.

Website

At a glance

Type

MCP server

Publisher

vigotime.com (verified by the MCP Registry)

Status

Working at last check

Tools

6

Token cost

About 698 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http planner https://api.vigotime.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.planner]
url = "https://api.vigotime.com/mcp"

Gemini CLI

{"mcpServers":{"planner":{"httpUrl":"https://api.vigotime.com/mcp"}}}

Cursor

{"mcpServers":{"planner":{"url":"https://api.vigotime.com/mcp"}}}

VS Code

{"servers":{"planner":{"type":"http","url":"https://api.vigotime.com/mcp"}}}

Antigravity

agy mcp add planner https://api.vigotime.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"planner","server_url":"https://api.vigotime.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"planner","server_url":"https://api.vigotime.com/mcp"}

Tools

• account_balance ~58 tokens
  Aktuelles Token-Guthaben der eigenen Organisation (Solves kosten Tokens).
• example_payload ~146 tokens
  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 w
• service_info ~86 tokens
  Build-Stand des laufenden Planner-Service: version (fortlaufende Build-Nummer), gitCommit, buildTime (UTC). Fuer Support-Anfragen und um Ergebnisse einem Software-Stand zuzuordnen.
• solve_result ~90 tokens
  Ergebnis eines fertigen Solve-Jobs: assignments [{employee_id, shift_id, date}], unassigned_shifts mit Begründung, Statistiken.
• solve_status ~76 tokens
  Status eines Solve-Jobs (pending/running/completed/failed) inkl. Fortschritt.
• solve_submit ~242 tokens
  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,

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