canvas-mcp by vishalsachdev MCP Server

Canvas LMS integration for students and educators with optional privacy controls

Publisher claimed. No tool list reported, and Pod has not connected to this server.

At a glance

GitHub popularity: 243 stars on vishalsachdev/canvas-mcp, recorded 2026-09-14.

Status

Pod has not dialled canvas-mcp by vishalsachdev yet, so everything on this page is what its publisher reported rather than what we observed. Registries describe servers; they do not connect to them. Until a check runs, treat the tool list below as a claim.

Connect

Published as canvas-mcp on pypi. Runs locally.

Reviewed GitHub reports

49 GitHub reports passed Pod's relevance review. This can include external user reports, maintainer-confirmed bugs, and concrete feature gaps. It is evidence to inspect, not a count of distinct defects. Showing 2.

Most discussed

Feature request: Integrate UDOIT accessibility recommendations remediation for Canvas course content

Add tools to: apply UDOIT Advantage recommendations to improve course content accessibility

Request to add new tool(s) that ingest UDOIT accessibility recommendations and apply the remediation actions for Canvas course content.
I will be sure to chip in with some effort if this is in your roadmap.

Thank you!

Read the thread · 2025-09-30 · closed · external user · 15 comments

Most recent

[Feature]: Provide option to disable accessibility checkers if not using UDOIT/UFIXIT

Problem Statement

It looks like the 4 accessibility checkers require having UDOIT/UFIXIT available which is an optional addon that we don't have. These should be disabled if not available.

I think it would probably be nice to support other accessibility checkers in the future but seems like that's the only one currently? Canvas has some new accessibility checker but I'm not sure if it has an API. Other a11y checkers possibly have an API or some way to tell if the course was scanned but…

Read the thread · 2026-08-26 · closed · external user · 1 comment

See all 20 reviewed GitHub reports — of 49 qualified upstream.

Firsthand observations

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For agents

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{
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  "limit": 5
}

Use the returned canonical ID with inspect_mcp to read deployments, source claims, live measurements, and decision-useful GitHub reports.

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