Canvas LMS MCP Server
Canvas LMS MCP Server
Сервер Model Context Protocol, который предоставляет MCP-клиенту (Claude Desktop, Claude Code или любому другому приложению, говорящему на MCP) доступ только для чтения к вашему аккаунту Canvas LMS.
Он отвечает на два вопроса:
«Что я прохожу и как у меня дела?» — активные курсы с текущими оценками.
«Что мне ещё нужно сдать и когда срок?» — несданные задания со сроками сдачи.
Связь осуществляется через стандартный транспорт stdio, поэтому клиент запускает сервер как дочерний процесс. В stdout не выводится ничего, кроме MCP-трафика.
Требования
Node.js 18.17 или новее (сервер использует встроенный
fetch)Персональный токен доступа Canvas
Related MCP server: Canvas MCP Server
Установка
cd canvas-mcp-server
npm installКонфигурация
Обе переменные обязательны; сервер завершает работу с понятным сообщением, если какая-либо из них отсутствует.
Переменная | Описание | Пример |
| Корень вашего экземпляра Canvas. Завершающий |
|
| Персональный токен доступа Canvas. |
|
Получение токена доступа Canvas
Войдите в Canvas.
Перейдите в Account → Settings.
В разделе Approved Integrations нажмите + New Access Token.
Укажите назначение и (при желании) срок действия, затем нажмите Generate Token.
Скопируйте токен сразу же — Canvas показывает его только один раз.
Токен несёт все ваши привилегии Canvas. Не храните его в системе контроля версий и отзовите его на той же странице настроек, если он когда-либо утёк.
Подключение клиента
Добавьте сервер в конфигурацию вашего MCP-клиента, указав абсолютный путь к
src/index.js:
{
"mcpServers": {
"canvas": {
"command": "node",
"args": ["/absolute/path/to/canvas-mcp-server/src/index.js"],
"env": {
"CANVAS_API_URL": "https://asu.instructure.com",
"CANVAS_ACCESS_TOKEN": "your-token-here"
}
}
}
}Claude Desktop —
claude_desktop_config.json(macOS:~/Library/Application Support/Claude/, Windows:%APPDATA%\Claude\).Claude Code —
claude mcp add canvas --env CANVAS_API_URL=... --env CANVAS_ACCESS_TOKEN=... -- node /absolute/path/to/canvas-mcp-server/src/index.js
Перезапустите клиент после изменения конфигурации.
Инструменты
list_courses_and_grades
Все курсы, на которые вы активно зачислены как студент, с текущей оценкой.
Параметр | Тип | По умолчанию | Описание |
| boolean |
| Также включать активные зачисления с уже завершившихся семестров. |
Canvas сообщает оценки дважды, когда ваше учебное заведение использует периоды оценивания: один раз
за текущий период и один раз за весь курс. Поле grades.scope указывает,
на какой из них вы смотрите:
current_grading_period— оценка охватывает текущий период оценивания, аcourse_total_score/course_total_gradeсодержат показатели за весь курс.course_total— учебное заведение не использует периоды оценивания, поэтому оценка является итоговой по курсу.unavailable— Canvas не вернул зачисление с данными об оценках.
В рамках любого из этих значений current_* игнорирует работы, которые ещё не оценены, а
final_* учитывает неоценённые работы как ноль.
{
"courses": [
{
"id": "101",
"name": "Full Stack Web Development",
"course_code": "GIT-411",
"term": "Fall 2026",
"term_start": "2026-08-20T00:00:00Z",
"term_end": "2026-12-18T00:00:00Z",
"enrollment_state": "active",
"grades": {
"current_score": 88.0,
"current_grade": "B+",
"final_score": 80.5,
"final_grade": "B-",
"scope": "current_grading_period",
"grading_period_title": "Fall Term",
"course_total_score": 91.4,
"course_total_grade": "A-"
},
"html_url": "https://asu.instructure.com/courses/101"
}
],
"course_count": 1,
"retrieved_at": "2026-09-01T12:00:00.000Z"
}list_upcoming_assignments
Задания по вашим активным курсам, которые ещё не сданы, отсортированные по сроку сдачи — сначала ближайшие.
Параметр | Тип | По умолчанию | Описание |
| integer 1–365 или |
| Насколько далеко смотреть. |
| boolean |
| Включать просроченные работы, которые так и не были сданы. |
| boolean |
| Включать несданные работы без срока сдачи. |
| string[] | все активные курсы | Ограничить конкретными ID курсов Canvas. |
Задание считается несданным, когда оно опубликовано, подлежит оцениванию и не сдано, не оценено и не освобождено от сдачи. Конкретно отфильтровываются:
всё, у чего есть отметка времени отправки
отправки в состоянии
submitted,pending_reviewилиgradedзадания, освобождённые от сдачи
задания, у которых уже есть балл или оценка (введённые вручную или на бумаге)
задания
not_graded(заглушки посещаемости и тому подобное)неопубликованные задания
{
"assignments": [
{
"id": "9004",
"name": "Missed lab writeup",
"course_id": "101",
"course_name": "Full Stack Web Development",
"due_at": "2026-08-28T06:59:00.000Z",
"days_until_due": -4.2,
"overdue": true,
"points_possible": 25,
"submission_types": ["online_upload"],
"submission_state": "unsubmitted",
"missing": true,
"locked": false,
"unlock_at": null,
"lock_at": null,
"html_url": "https://asu.instructure.com/courses/101/assignments/9004"
}
],
"assignment_count": 1,
"courses_checked": 2,
"window": {
"from": "2026-09-01T12:00:00.000Z",
"to": "2026-09-15T12:00:00.000Z",
"include_overdue": true,
"include_undated": false
},
"errors": [],
"retrieved_at": "2026-09-01T12:00:00.000Z"
}Если один курс не удаётся прочитать — завершён, ограничен или вызывает ошибку — он
указывается в errors, а остальные курсы по-прежнему возвращают результаты.
Замечания о поведении
Пагинация. Canvas разбивает каждую коллекцию на страницы через заголовок
Link. Клиент следует заrel="next"по 100 записей на страницу, с ограничением в 20 страниц на конечную точку, чтобы ошибочный ответ не мог зациклиться навсегда.Параллельность. Задания загружаются не более чем с 5 курсов одновременно, чтобы не превышать лимиты частоты запросов Canvas.
Текущий семестр. По умолчанию возвращаются только курсы, семестр которых ещё не завершился. Семестр Canvas по умолчанию не имеет даты окончания и включается всегда.
Ошибки. Сбои Canvas возвращаются как ошибки MCP-инструмента с кодом состояния и собственным сообщением Canvas, а также подсказкой для типичных случаев (401 → неверный токен, 404 → неверный URL).
Только чтение. Оба инструмента помечены
readOnlyHint. Сервер отправляет толькоGET-запросы и никогда не изменяет ваши данные Canvas.
Разработка
npm test # 36 tests: API client, grade logic, filtering, and an end-to-end MCP round tripНабор тестов использует замену fetch с записанными ответами Canvas, поэтому сеть или
реальный токен не нужны. Все даты в фикстурах относительны к моменту запуска тестов.
src/
index.js MCP server: tool definitions, schemas, stdio wiring
canvas.js Canvas REST client: auth, pagination, error mapping
courses.js Active-course and grade normalization
assignments.js Outstanding-assignment filtering and due-date windowsЛицензия
MIT
Available Tools
2 toolslist_courses_and_gradesList active courses and gradesARead-only
Fetch every course the user is actively enrolled in as a student, together with the current grade for each. When the institution uses grading periods, the score reported is for the grading period in progress and the whole-course total is included alongside it (see the 'scope' field). Defaults to the current term only.
| Name | Required | Description | Default |
|---|---|---|---|
| include_all_terms | No | Include active enrollments from terms that have already ended. |
Output Schema
| Name | Required | Description |
|---|---|---|
| courses | Yes | |
| course_count | Yes | |
| retrieved_at | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=true. The description adds useful behavioral nuance beyond those: grading-period behavior, inclusion of the whole-course total alongside the in-progress score, and the 'scope' field for interpretation. This is valuable context for a read-only listing tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two concise sentences. The first sentence front-loads the primary purpose, and the second adds an important grading-period nuance. There is no filler or repetition of schema details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple read-only listing tool with one optional parameter, an output schema, and high schema coverage, the description is complete. It explains active enrollment, grading-period behavior, and term defaulting, which is sufficient for an agent to select and invoke the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, and the only parameter, include_all_terms, is well documented in the schema with a clear description and default value. The main description restates the default behavior ('Defaults to the current term only') but adds no additional parameter-level meaning, so the baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific action ('Fetch every course the user is actively enrolled in as a student') and a clear resource ('courses... together with the current grade for each'). It also adds meaningful scope distinctions like 'Defaults to the current term only' and grading-period behavior, which clearly separates it from the sibling assignment-listing tool.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives clear context for when to use the tool: when you need active course enrollments and current grades, defaulting to the current term. It does not explicitly mention alternatives or exclusions relative to list_upcoming_assignments, but the course/grade vs. assignment subject matter implies the boundary clearly.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_upcoming_assignmentsList upcoming unsubmitted assignmentsARead-only
Fetch assignments across the user's active courses that are still outstanding — not submitted, not graded, and not excused — with their due dates, sorted soonest first. Past-due work that was never turned in is included by default.
| Name | Required | Description | Default |
|---|---|---|---|
| course_ids | No | Restrict to these Canvas course IDs. Defaults to all active courses. | |
| days_ahead | No | How far ahead to look, in days. Pass null for no upper bound. | |
| include_overdue | No | Include past-due assignments that were never submitted. | |
| include_undated | No | Include outstanding assignments that have no due date. |
Output Schema
| Name | Required | Description |
|---|---|---|
| errors | Yes | Courses that could not be read; the rest of the results are still valid. |
| window | Yes | |
| assignments | Yes | |
| retrieved_at | Yes | |
| courses_checked | Yes | |
| assignment_count | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already declare readOnlyHint=true and openWorldHint=true, so the description doesn't need to repeat those. It goes beyond the annotations by specifying the filtering logic (not submitted, not graded, not excused), sorting order (soonest first), and default inclusion of overdue items. This adds useful behavioral context without contradicting the annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences, front-loaded with the core purpose, and every clause adds value. It efficiently conveys the tool's scope, filtering criteria, ordering, and default behavior without any fluff.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the output schema exists (as noted in the context), the description doesn't need to explain return values. The tool is relatively simple with 4 optional parameters, and the description plus schema fully cover the behavior. It could be a 5, but the absence of any prerequisites or error conditions keeps it at a solid 4.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already covers 100% of the parameters with descriptions. The tool description adds a bit more by explaining the filtering and sorting behavior, which relates to how the parameters interact (e.g., include_overdue default true). Since schema coverage is high, a baseline 3 is appropriate, but the description's mention of 'sorted soonest first' and 'Past-due work ... included by default' adds context beyond the schema, justifying a 4.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Fetch') and identifies the resource ('assignments across the user's active courses') with clear criteria ('not submitted, not graded, not excused'). It also notes the sorting by due date and the inclusion of past-due unsubmitted work, which distinguishes it from the sibling tool (list_courses_and_grades) that focuses on grades and courses.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description makes it clear that the tool is for outstanding assignments, which implies using it when you need to see what's due or overdue. It does not explicitly state when NOT to use it or mention the sibling alternative, but the context is sufficiently clear for most use cases, and the default behavior (including overdue) is disclosed.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
2 tool updates
v1.0.0- First observed
list_courses_and_grades - First observed
list_upcoming_assignments
TDQS
Scored across 2 tools
The two tools serve clearly distinct purposes: one retrieves course enrollments with grades, the other retrieves upcoming assignments. There is no ambiguity in selecting between them.
Both tools follow a consistent 'list_' prefix followed by a clear noun phrase ('courses_and_grades', 'upcoming_assignments'), making the naming pattern uniform and predictable.
With only two tools, the server feels minimal but not entirely unreasonable for a focused student dashboard scope. The count is at the borderline of being thin, as agents may expect additional related operations.
The tool surface covers the two primary student needs (grades and upcoming assignments) but lacks operations like retrieving individual course details, assignment submissions, or past assignmentscars. This leaves notable gaps for broader academic workflows, though it may suffice for a narrow use case.
Maintenance
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