MCP server

School Timetable Builder

io.github.wilbek-source/timetable-builder

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Build a full weekly timetable for a primary school (classes, teachers, rooms) via chat.

Website

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

5

Token cost

About 1,999 tokens per request

Sets up in

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

Last checked

25 Oct 2026, 20:29 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 timetable-builder https://timetable-builder.wilbek.workers.dev/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.timetable-builder]
url = "https://timetable-builder.wilbek.workers.dev/mcp"

Gemini CLI

{"mcpServers":{"timetable-builder":{"httpUrl":"https://timetable-builder.wilbek.workers.dev/mcp"}}}

Cursor

{"mcpServers":{"timetable-builder":{"url":"https://timetable-builder.wilbek.workers.dev/mcp"}}}

VS Code

{"servers":{"timetable-builder":{"type":"http","url":"https://timetable-builder.wilbek.workers.dev/mcp"}}}

Antigravity

agy mcp add timetable-builder https://timetable-builder.wilbek.workers.dev/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":"timetable-builder","server_url":"https://timetable-builder.wilbek.workers.dev/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"timetable-builder","server_url":"https://timetable-builder.wilbek.workers.dev/mcp"}

Tools

• create_schedule ~614 tokens
  Starts calculating the full timetable from the 8 input files (validate them first). Returns a job_id at once; the calculation takes about 5-8 minutes. Then keep calling get_schedule_result with the job_id in the same reply until it is done.
• get_interview_guide ~71 tokens
  Returns the interview guide: which questions to ask the user, default values, engine limits and the exact format of the 8 input files. Call this first.
• get_schedule_result ~279 tokens
  Gets the status or result of a job from create_schedule (or a slow validate_input). While running: progress. When done: a compact timetable as text plus a link (valid 1 hour) to the full JSON result. view='classes' (default) = one table per class, 'teachers' = one per teacher incl. preparation time,
• send_feedback Sends messages · ~419 tokens
  Passes the user's feedback about the timetable service on to its developer (what worked, what did not, wishes). Only call it when the user has said they want to give feedback, and send what the user said in their own words (you may shorten it; any language is fine). Never include teacher names, othe
• validate_input ~616 tokens
  Checks the 8 input files in a few seconds without creating a timetable: file structure, engine limits and a capacity analysis (enough teachers/time?). Returns VALID (with warnings) or INVALID (with reasons). Always run this before create_schedule.

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