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UofT Timetable Builder MCP

by SleepyPandas

UofT Timetable Builder MCP

A small Python MCP server for the public UofT Timetable Builder API. It exposes ten tools over local stdio using the official MCP Python SDK: seven course-lookup tools, a schedule solver wrapper, and share save/retrieve tools.

No API key, database, web server, or environment variables are required. This is an unofficial wrapper; it does not enroll students or write to ACORN. Saving a timetable creates an anonymous public share link on the Timetable Builder, not a personal account record.

Connect an MCP Client

Install uv, then add this configuration to any client that supports mcpServers:

{
  "mcpServers": {
    "uoft-timetable": {
      "command": "uvx",
      "args": ["uoft-mcp@latest"],
      "env": {
        "UV_HTTP_TIMEOUT": "300"
      }
    }
  }
}

Restart the client after saving its configuration. On Windows, if the client cannot find uvx, restart it after installing uv or replace "uvx" with the absolute path reported by where.exe uvx.

uvx downloads the published package into an isolated environment and starts the uoft-mcp command. No repository clone, virtual environment setup, API key, server URL, or listening port is needed. The first start can take longer while uv downloads Python and the dependencies; later starts use its cache.

To pin a release instead of following the newest release, use "args": ["uoft-mcp==0.2.0"].

Local Development

From a clone of this repository:

uv python install 3.13
uv sync --locked --managed-python

uv sync creates .venv, installs the package and development tools, and uses the committed uv.lock. .python-version selects Python 3.13; the package supports Python 3.13 and newer.

Run the local checkout with:

uv run --locked python -m uoft_mcp

The installed uoft-mcp command is another entry point. The process waits for an MCP client on stdin; a blank terminal is expected. Use Ctrl+C to stop a manual run. Stdout carries protocol messages only, and logging goes to stderr.

Tools

Tool

Arguments and purpose

get_current_sessions

No arguments. Get current session IDs; skip entries with header: true.

get_reference_data

No arguments. Get campus, division, delivery-mode, and sorting values.

get_divisions

No arguments. List recognized faculty/division codes.

search_departments

Required term keyword and divisions code.

search_course_titles

Required term, divisions, and sessions strings. Optional lower_threshold=50, upper_threshold=200.

get_course_details

Required course_code; optional section_code of F, S, or Y. The returned course id is required by generate_timetable.

search_courses

Optional code/title, section, description, division, session, campus, delivery, and pagination filters.

generate_timetable

Required plans array. Each plan has courses (course_id plus activity_types), optional preference of early, balanced, or late, and optional blocked_times.

save_timetable

Required timetable object with sessions, timetables, and plans. Returns the share id plus a share_url.

retrieve_timetable

Required share_id from save_timetable.

Each successful lookup, generation, and retrieve call returns one text block containing the complete upstream JSON. The wrapper preserves fields and arrays, including upstream payload and status envelopes. It does not summarize or truncate course data. save_timetable keeps the upstream share object and adds share_url.

Example Workflow

  1. Call get_current_sessions with {} and select a non-header entry's value.

  2. Call get_divisions or get_reference_data for valid filter codes.

  3. Call search_course_titles with these arguments, substituting the session value:

{"term": "CSC108", "divisions": "ARTSC", "sessions": "SESSION_ID_FROM_STEP_1"}
  1. Use the returned exact course code in get_course_details:

{"course_code": "CSC108H1", "section_code": "F"}
  1. For filtered, paginated results, call search_courses:

{
  "course_code": "CSC108H1",
  "divisions": ["ARTSC"],
  "sessions": ["SESSION_ID_FROM_STEP_1"],
  "page": 1,
  "page_size": 2
}

search_courses also accepts course_title, course_section_code, search_course_description, campuses, delivery_modes, and direction (asc or desc). Pages start at 1, page size defaults to 20, and sorting defaults to asc. Omitted collection filters become empty arrays. Course codes should be exact; use autocomplete for prefixes or course_title for keyword searches.

  1. Copy each selected offering's id from get_course_details into generate_timetable. Activity types are the section types to fill, such as Lecture, Tutorial, or Practical. Preference defaults to balanced. Optional blocked intervals use weekday names and 24-hour HH:MM times:

{
  "plans": [
    {
      "courses": [
        {
          "course_id": "COURSE_ID_FROM_STEP_4",
          "activity_types": ["Lecture", "Tutorial"]
        }
      ],
      "preference": "early",
      "blocked_times": [{"day": "Monday", "start": "8:00", "end": "10:00"}]
    }
  ]
}

Use one plan per term. A Fall and Winter year is two plans. The solver returns chosen sections; it does not enroll students.

  1. Store a Timetable Builder state with save_timetable. The timetable object must include sessions, timetables, and plans in the frontend's serialized shape. The tool returns id and share_url (https://ttb.utoronto.ca/#!/?t=...).

  2. Reload that share later with retrieve_timetable:

{"share_id": "SHARE_ID_FROM_STEP_7"}

Checks

uv run --locked pytest -q
uv run --locked ruff check .
uv run --locked ruff format --check .

The tests run offline. They cover all ten tools, request mapping, raw JSON preservation, validation, HTTP errors, timeouts, connection errors, invalid JSON, shared-client cleanup, MCP discovery, and actual stdio subprocesses.

Verification: 50 tests passed. Live checks of lookup, generateYear, tiny/shorten, and tiny/retrieve succeeded, including generating CSC258H1 and CSC311H1, saving an anonymous share, and retrieving that share. Live requests are deliberately not part of the test suite, so tests remain reproducible.

API Notes

  • The supplied timetable_builder.json remains the original reference. Live checks found two missing details: pagination starts at 1, and paginated search requires an empty departmentProps array when not filtering by department. The wrapper supplies it.

  • generateYear accepts an array of plans. Each plan needs course id values from get_course_details, sections with name: "*" and a type, fitnessFunctionOption (MORNING_WEIGHTED, BALANCED, or AFTERNOON_WEIGHTED), and blockedOff intervals using weekday numbers 1-5 (Monday-Friday) and milliseconds since midnight.

  • tiny/shorten stores the official https://ttb.utoronto.ca/#!/? URL for a serialized timetable and returns { "id": "..." }. tiny/retrieve?id= loads it. These are anonymous share records, not ACORN enrolment.

  • Get division codes from the API. For example, the live API uses ERIN and SCAR for Mississauga and Scarborough, rather than the reference's UTM and UTSC examples.

  • Even one course can have a large response because all its sections are included. Choose narrow filters and small page sizes. The wrapper never fetches extra pages.

  • HTTP failures become MCP tool errors containing the endpoint and status code. UofT may return HTTP 404 for no matching courses. Timeouts, connection failures, and malformed JSON get their own readable errors. No automatic retries occur.

  • This API is not covered by an official support guarantee. Changes upstream may require updating the mappings. Successful HTTP responses are preserved as supplied, including any application-level status messages inside their JSON.

For a walkthrough of the code and how to extend it, read EXPLAINED.md.