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canvas-api-mcp

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Canvas MCP server for Canvas LMS: 16 curated student tools plus a gateway reaching all 1,116 Canvas API endpoints

2 stars PythonOthers Updated Aug 15, 2026
ai-agentscanvas-apicanvas-lmsclaudeeducationmcpmodel-context-protocolpythonanthropicassignmentscanvasclaude-codeclaude-desktopedtechinstructurelmsmcp-serverstudents

Documentation

canvas-api-mcp

Never miss an assignment deadline again.

Ask your AI what's due and it reads the answer straight from Canvas:

real deadlines, real submission status, no copying anything across.

An MCP server for Canvas LMS. 16 curated tools for everyday student work, plus a

gateway that reaches every endpoint your Canvas instance exposes.

**šŸ“– Documentation: mcp.johannsenlum.com/canvas-lms**

Ā· install guide Ā·

tool reference Ā·

skills Ā·

compliance

PyPI
Python 3.11+
License: MIT
MCP Registry
GitHub stars

> Personal-use software. Canvas's API Policy requires OAuth for applications used

> by multiple people, and Canvas OAuth cannot be implemented safely by locally

> installed software (no PKCE, and `client_secret` cannot be shipped in a package).

> Use this with your own token on your own account. See Compliance.

What you can ask it

Real prompts, and which tool answers them.

> You: What's due this week?

> Claude: *(calls `whats_due`)*: You have 3 things due: Problem Set 4 (Thu,

> CS3230), a discussion reply (Fri, IS4302), and the Milestone 2 report (Sun,

> EE2211).

> You: How am I doing in my databases course, and what's on the syllabus for

> week 6?

> Claude: *(calls `my_grades`, then `get_syllabus`, then

> `course_content` for the week 6 module)*: You're at 87% overall. Week 6 covers

> normalization and has a reading plus a lab file due Friday.

> You: Summarize the PDF lecture notes for lecture 8 and pull up my submission

> for the essay so I can see the feedback.

> Claude: *(calls `list_files` + `read_file` for the PDF, then `my_submission`

> for the essay)*: ...

> You: Reply to the "Project teams" discussion and say I'm free after 3pm for

> the group meeting.

> Claude: *(calls `post_discussion_reply` āœļø)*: Posted to the thread.

> You: Has Canvas ever given me quiz statistics broken down by question, across

> the whole semester?

> Claude: *(calls `search_canvas_api` to find the right endpoint, then

> `canvas_request` to call it)*: ...

The last example is the point of the gateway tools: if an endpoint exists on your

Canvas instance, `search_canvas_api` can find it and `canvas_request` can call it,

even though only 16 tools are hand-curated.

Install

Prerequisites

  • Python 3.11+
  • A Canvas personal access token. Your institution must allow students to create

them: check Canvas → Account → Settings → Approved Integrations for a

"+ New access token" button. Full walkthrough with screenshots:

mcp.johannsenlum.com/canvas-lms/install.

Note that the token expires. Since Instructure's October 2025 security update,

accounts holding only student roles must set an expiry no more than 120 days out,

and institutions often cap it lower (NUS allows 90). Write the date down: an expired

token makes every tool return `401` at once, which looks like a broken install rather

than a credential that simply ran out.

Running the server

`canvas-api-mcp` is published on PyPI. Run it with:

bash
uvx canvas-api-mcp

Install from source (contributors / unreleased `main`). Not part of the

normal install path above, only needed if you want the latest unreleased

code instead of the published PyPI release:

bash
uvx --from git+https://github.com/JohannsenLum/canvas-api-mcp canvas-api-mcp

Or run from a local clone:

bash
git clone https://github.com/JohannsenLum/canvas-api-mcp
cd canvas-api-mcp
uv sync

Quick install (one-click)

One-click deeplinks exist for Cursor, VS Code, and LM Studio only. No other

client has a documented install-link format. These prefill the config below but

still need `CANVAS_BASE_URL` and `CANVAS_TOKEN` filled in afterward.

Add to Cursor
Add to VS Code
Add to LM Studio

All clients (manual config)

Your token stays on your machine, in your own config file. It is never

transmitted anywhere except directly to your Canvas instance.

ClientDeeplink?
Claude Codeno
Claude Desktopno
Cursoryes, above
VS Codeyes, above
LM Studioyes, above
Zedno
Windsurfno (Windsurf only resolves servers in its own registry)

Claude Code: ~/.claude.json

jsonc
{
  "mcpServers": {
    "canvas": {
      "command": "uvx",
      "args": ["canvas-api-mcp"],
      "env": {
        "CANVAS_BASE_URL": "https://canvas.yourschool.edu",
        "CANVAS_TOKEN": "your-token-here"
      }
    }
  }
}

Claude Desktop: claude_desktop_config.json

macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`

Windows: `%APPDATA%\Claude\claude_desktop_config.json`

No one-click install exists for Claude Desktop (it installs `.mcpb` bundles, not

deeplinks). Copy this JSON in via Settings → Developer → Edit Config:

jsonc
{
  "mcpServers": {
    "canvas": {
      "command": "uvx",
      "args": ["canvas-api-mcp"],
      "env": {
        "CANVAS_BASE_URL": "https://canvas.yourschool.edu",
        "CANVAS_TOKEN": "your-token-here"
      }
    }
  }
}

Cursor: ~/.cursor/mcp.json

Fallback for the button above, or if you'd rather paste it directly:

jsonc
{
  "mcpServers": {
    "canvas": {
      "command": "uvx",
      "args": ["canvas-api-mcp"],
      "env": {
        "CANVAS_BASE_URL": "https://canvas.yourschool.edu",
        "CANVAS_TOKEN": "your-token-here"
      }
    }
  }
}

VS Code: .vscode/mcp.json

Fallback for the button above, or if you'd rather paste it directly. Note VS

Code uses a `servers` key, not `mcpServers`:

jsonc
{
  "servers": {
    "canvas": {
      "type": "stdio",
      "command": "uvx",
      "args": ["canvas-api-mcp"],
      "env": {
        "CANVAS_BASE_URL": "https://canvas.yourschool.edu",
        "CANVAS_TOKEN": "your-token-here"
      }
    }
  }
}

LM Studio: mcp.json (Program → Install → Edit mcp.json)

Fallback for the button above, or if you'd rather paste it directly:

jsonc
{
  "mcpServers": {
    "canvas": {
      "command": "uvx",
      "args": ["canvas-api-mcp"],
      "env": {
        "CANVAS_BASE_URL": "https://canvas.yourschool.edu",
        "CANVAS_TOKEN": "your-token-here"
      }
    }
  }
}

Zed: settings.json

No deeplink exists for Zed. Add this under `context_servers` in your Zed

settings:

jsonc
{
  "context_servers": {
    "canvas": {
      "source": "custom",
      "command": "uvx",
      "args": ["canvas-api-mcp"],
      "env": {
        "CANVAS_BASE_URL": "https://canvas.yourschool.edu",
        "CANVAS_TOKEN": "your-token-here"
      }
    }
  }
}

Windsurf: ~/.codeium/windsurf/mcp_config.json

No deeplink exists for Windsurf. It only resolves servers from its own

registry, so this has to be pasted in manually via **Windsurf Settings → MCP

Servers → Edit raw config**:

jsonc
{
  "mcpServers": {
    "canvas": {
      "command": "uvx",
      "args": ["canvas-api-mcp"],
      "env": {
        "CANVAS_BASE_URL": "https://canvas.yourschool.edu",
        "CANVAS_TOKEN": "your-token-here"
      }
    }
  }
}

Tools

ToolWhat it does
`whoami`Identity and your role in each course
`get_calendar_feed_url`Your private calendar `.ics` link (only when you ask for it)
`my_courses`Active courses with code, term, role
`whats_due`Everything due, soonest first
`my_grades`Current score per course
`list_assignments`A course's assignments and submission state
`get_assignment`One assignment in full, with rubric
`my_submission`Your submission, score, and feedback
`submit_assignment` āœļøSubmit work
`course_announcements`Recent announcements
`course_content`Modules and their contents
`list_files`Files in a course
`read_file`Extract text from PDF/DOCX/PPTX/text
`get_page`A Canvas wiki page by slug
`get_syllabus`A course's syllabus
`read_discussion`Topics, or one topic's replies
`post_discussion_reply` āœļøPost to a discussion
`search_canvas_api`Find any endpoint by keyword (gateway)
`canvas_request` āœļøExecute any endpoint (gateway)

āœļø writes to Canvas. That's 3 write tools total: `submit_assignment`,

`post_discussion_reply`, and `canvas_request` when called with a non-GET method

(GET calls through `canvas_request` are read-only).

`search_canvas_api` + `canvas_request` reach all ~1,116 endpoints your instance

exposes. What they may do is decided by Canvas from your token's permissions: a

teacher token unlocks educator endpoints with no change to this server.

Prompts

`week_ahead`, `study_pack`, `grade_check`.

Resources

`canvas://me`, `canvas://courses`, `canvas://api/catalog`.

Skills

If your client supports the skills

convention:

bash
npx skills add JohannsenLum/canvas-api-mcp

Other institutions

Works with any Canvas instance: set `CANVAS_BASE_URL`. The catalog of ~1,116

endpoints ships inside the package at

`canvas_api_mcp/data/catalog.json`. To match your deployment's exact feature

set, regenerate it:

bash
python scripts/build_catalog.py https://canvas.yourschool.edu -o data/catalog.json

Compliance

  • Academic integrity. `submit_assignment` can submit anything, including

AI-generated work. Submitting work that is not your own breaches the academic

integrity rules of essentially every institution, and Canvas's API Policy

explicitly prohibits use that violates them. That is on you.

  • Rate limiting. The client throttles against Canvas's published quota. Do not

remove it: overloading the API is prohibited.

  • Course material. `read_file` fetches materials for your own study. Do not

redistribute them.

  • Your token is password-equivalent. It can read your grades and submit work as

you. Set an expiry. Never commit it.

  • Personal-use scope. Phase 1 targets a single student using their own token.

There are no curated educator tools; Canvas's OAuth flow has no PKCE, so this

locally-installed server cannot implement the multi-user OAuth that Canvas's API

Policy requires for anything broader. Do not repackage this as a multi-tenant

service.

Development

bash
uv sync
uv run pytest -v

# Live tests against your real account (read-only)
CANVAS_LIVE_TESTS=1 uv run pytest tests/test_live.py -v

Environment variables: `CANVAS_BASE_URL`, `CANVAS_TOKEN`, optional

`CANVAS_MAX_PAGES` (default 10) and `CANVAS_TIMEOUT` (seconds, default 30).

See `env.template`.

Contributing

Issues and pull requests are welcome: see CONTRIBUTING.md for

setup, the architectural rules worth knowing before you change anything, and the bar

for adding a new curated tool.

Found a security problem? Do not open a public issue. See

SECURITY.md for private reporting, particularly important here, since

this project handles password-equivalent Canvas tokens.

Changes are recorded in CHANGELOG.md.

Licence

MIT Ā© 2026 Johannsen Lum.

Use it, change it, redistribute it, build something commercial on it: the only

condition is that you keep the copyright notice and licence text. It comes with no

warranty of any kind.

Contributions are accepted under the same licence.

Frequently asked questions

What is canvas-api-mcp?

canvas-api-mcp is Canvas MCP server for Canvas LMS: 16 curated student tools plus a gateway reaching all 1,116 Canvas API endpoints

How do I install canvas-api-mcp?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is canvas-api-mcp open source?

Yes — it is hosted on GitHub at https://github.com/JohannsenLum/canvas-api-mcp and has 2 stars.

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