Canvas Discussion Facilitator logo

Canvas Discussion Facilitator

Community
vishalsachdev
canvas-discussion-facilitator

Discussion forum facilitator for Canvas LMS. Helps students and educators browse, read, reply to, and create discussion posts. Trigger phrases include "discussion posts", "reply to students", "check discussions", "forum participation", "post a discussion", or any discussion-related Canvas task.

Overview

Publishervishalsachdev
Repositorycanvas-mcp
Skill namecanvas-discussion-facilitator
Stars
305
Forks
99
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by vishalsachdev on GitHub. Read the source before you install it.

Installation

Install the Canvas Discussion Facilitator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/vishalsachdev/canvas-mcp/tree/main/skills/canvas-discussion-facilitator
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/vishalsachdev/canvas-mcp.git /tmp/canvas-mcp
mkdir -p .claude/skills
cp -r /tmp/canvas-mcp/skills/canvas-discussion-facilitator .claude/skills/canvas-discussion-facilitator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Canvas Discussion Facilitator in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Canvas Discussion Facilitator on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Canvas Discussion Facilitator is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Canvas Discussion Facilitator

Facilitate discussion forum activity in Canvas LMS -- browse topics, read posts, reply to students, create new discussions, and monitor participation. Works for both students and educators.

Prerequisites

  • Canvas MCP server must be running and connected to the agent's MCP client.
  • The authenticated user can have any Canvas role (student, TA, or instructor). Tool access is governed by Canvas API permissions.
  • FERPA-conscious handling (educators): Set ENABLE_DATA_ANONYMIZATION=true in the Canvas MCP server environment to anonymize supported student identity fields in output. This control does not by itself establish compliance.

Steps

1. Identify the Course

Ask the user which course to work with. Accept a course code, Canvas ID, or ask them to pick from a list.

If the user does not specify, use list_courses to show active courses and prompt:

Which course should I look at discussions for?

2. Browse Discussion Topics

Call the MCP tool list_discussion_topics with the course identifier to retrieve all discussion forums.

Parameters:

  • course_identifier -- course code or Canvas ID
  • include_announcements -- set to false (default) to see only discussions, or true to include announcements

Data to surface per topic:

  • Topic ID and title
  • Author name
  • Posted date
  • Number of entries (if available)
  • Whether the topic is pinned or locked

Present the list so the user can pick a topic to drill into.

3. View Posts in a Discussion

Once the user selects a topic, call list_discussion_entries to retrieve posts.

Parameters:

  • course_identifier -- course code or Canvas ID
  • topic_id -- the selected discussion topic ID
  • include_full_content -- set to true to see complete post bodies
  • include_replies -- set to true to see threaded replies

Data to surface per entry:

  • Author name
  • Posted date
  • Message content (or preview)
  • Number of replies
  • Entry ID (needed for replying)

4. Read a Specific Post in Full

If a post is truncated or the user wants the complete text, call get_discussion_entry_details.

Parameters:

  • course_identifier -- course code or Canvas ID
  • topic_id -- the discussion topic ID
  • entry_id -- the specific entry ID
  • include_replies -- set to true to also fetch all replies to this entry

Present the full post content along with any replies, timestamps, and author information.

5. Reply to a Post

When the user wants to respond to a specific post, call reply_to_discussion_entry.

Parameters:

  • course_identifier -- course code or Canvas ID
  • topic_id -- the discussion topic ID
  • entry_id -- the entry being replied to
  • message -- the reply content (HTML is supported)

Before sending, always:

  1. Show the draft reply to the user for confirmation
  2. Reference the original post so the user can verify context
  3. Only send after explicit approval

6. Post a New Top-Level Entry

When the user wants to add a new post to an existing discussion (not a reply), call post_discussion_entry.

Parameters:

  • course_identifier -- course code or Canvas ID
  • topic_id -- the discussion topic ID
  • message -- the post content (HTML is supported)

Show the draft to the user and confirm before posting.

7. Create a New Discussion Topic

When the user needs an entirely new discussion forum, call create_discussion_topic.

Parameters:

  • course_identifier -- course code or Canvas ID
  • title -- the discussion title
  • message -- the opening post / prompt for the discussion
  • delayed_post_at -- (optional) ISO 8601 datetime to schedule the discussion to appear later
  • lock_at -- (optional) ISO 8601 datetime to automatically lock the discussion
  • require_initial_post -- set to true if students must post before seeing classmates' responses
  • pinned -- set to true to pin the topic to the top of the discussion list

Confirm the title, content, and any scheduling options with the user before creating.

Educator Use Cases

Monitor Participation

  1. Call list_discussion_topics to get all discussion forums in the course.
  2. For each topic, call list_discussion_entries to retrieve all posts.
  3. Cross-reference posters against the class roster (use list_users or list_submissions to get enrolled students).
  4. Identify students who have not posted in any active discussion.

Present participation as a summary:

## Discussion Participation: [Course Name]

### Topic: "Week 5 Reading Response" (due Mar 3)
- **Posted:** 28 / 32 students (88%)
- **Not posted:** Student_a1b2c3d, Student_e4f5g6h, Student_i7j8k9l, Student_m0n1o2p

### Topic: "Case Study Analysis" (due Mar 5)
- **Posted:** 15 / 32 students (47%)
- **Not posted:** [17 students listed]

### Students Missing Multiple Discussions
- Student_a1b2c3d -- missing 2 discussions
- Student_e4f5g6h -- missing 2 discussions

Send Reminders About Participation

After identifying non-participants, offer to:

  1. Post an announcement using create_announcement with a general reminder about discussion deadlines.
  2. Message specific students using send_conversation to contact students who are behind on participation.

Draft Thoughtful Replies

When an educator wants to reply to student posts:

  1. Read the full post with get_discussion_entry_details (include replies for context).
  2. Draft a reply that acknowledges the student's points, asks follow-up questions, or connects ideas to course material.
  3. Show the draft for educator review and revision before calling reply_to_discussion_entry.

Student Use Cases

Browse and Catch Up on Discussions

  1. Call list_discussion_topics to see all active discussions.
  2. Call list_discussion_entries with include_full_content=true to read posts.
  3. Summarize key themes or arguments across posts to help the student catch up quickly.

Reply to Classmates

  1. Read the target post with get_discussion_entry_details.
  2. Help the student draft a reply that engages substantively with the original post.
  3. Confirm and send via reply_to_discussion_entry.

Post a New Entry

  1. Review existing posts with list_discussion_entries to avoid duplicating points already made.
  2. Help the student draft a post that adds a distinct perspective or builds on the conversation.
  3. Confirm and send via post_discussion_entry.

MCP Tools Used

ToolPurpose
list_coursesFind the target course
list_discussion_topicsBrowse all discussion forums in a course
list_discussion_entriesView posts within a discussion topic
get_discussion_entry_detailsRead a single post with full content and replies
get_discussion_topic_detailsGet metadata about a discussion topic
reply_to_discussion_entryReply to an existing post
post_discussion_entryAdd a new top-level post to a discussion
create_discussion_topicCreate a new discussion forum
create_announcementPost a course announcement (educator)
send_conversationMessage specific students through Canvas (educator)
list_usersGet enrolled students for participation tracking (educator)

Best Practices

  • Read before replying. Always read the full post and its replies before drafting a response. This avoids repeating points and shows engagement with the conversation.
  • Check for existing similar posts. Before posting a new entry, scan existing posts to avoid duplicating what others have already said. Build on or respectfully challenge existing arguments instead.
  • Reference specific points. When replying, quote or paraphrase specific parts of the original post. This makes the reply more substantive and shows careful reading.
  • Confirm before sending. Always show draft content to the user for approval before calling any write tool (reply_to_discussion_entry, post_discussion_entry, create_discussion_topic, create_announcement).
  • Respect discussion settings. Some discussions require an initial post before viewing others (require_initial_post). If a student cannot see other posts, they need to post first.
  • Mind the timing. Check delayed_post_at and lock_at dates on topics. Do not attempt to post to locked discussions.
  • Anonymization for educators. When reviewing student participation, rely on anonymous IDs if anonymization is enabled. The Canvas MCP server preserves functional user IDs for messaging while anonymizing display names.

Example

User (educator): "Show me who hasn't posted in the Week 5 discussion for CS 101."

Agent: Calls list_discussion_topics to find the Week 5 topic, then list_discussion_entries to get all posts, then cross-references with enrolled students. Outputs a participation summary listing students who have not posted.

User: "Send them a reminder."

Agent: Drafts a reminder message referencing the discussion deadline, shows it for confirmation, then calls send_conversation to message the non-participating students.


User (student): "I need to reply to Maria's post in the Case Study discussion."

Agent: Calls list_discussion_topics to find the Case Study topic, then list_discussion_entries to locate Maria's post, then get_discussion_entry_details to read the full content. Helps draft a reply that references Maria's key arguments, shows the draft for confirmation, then calls reply_to_discussion_entry.

Notes

  • This skill pairs well with canvas-morning-check for educators who want a full course status before diving into discussions.
  • Discussion entries support HTML content. When drafting posts, use paragraph tags for readability but avoid overly complex markup.
  • Canvas API permissions determine what each user can do. Students cannot create discussion topics unless the course allows it. Educators have full access.
  • For courses with many discussions, suggest filtering by recent or pinned topics to keep the workflow focused.

Frequently asked questions

What does the Canvas Discussion Facilitator AI skill do?

Discussion forum facilitator for Canvas LMS. Helps students and educators browse, read, reply to, and create discussion posts. Trigger phrases include "discussion posts", "reply to students", "check discussions", "forum participation", "post a discussion", or any discussion-related Canvas task.

Why use Canvas Discussion Facilitator on TypingMind?

Because you install it once and use it with any model. Canvas Discussion Facilitator is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Canvas Discussion Facilitator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vishalsachdev/canvas-mcp/tree/main/skills/canvas-discussion-facilitator. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Canvas Discussion Facilitator?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Canvas Discussion Facilitator?

As many as you like. As long as a model supports skills, you can use Canvas Discussion Facilitator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Canvas Discussion Facilitator AI skill free?

Yes. It is published on GitHub by vishalsachdev under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇