Canvas Lms (ahnopologetic) MCP Server
canvas-lms-mcp
PyPI
v0.1.2
Published by ahnopologetic — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.
Minimal Canvas LMS MCP server for easy access to education
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 4 = 96. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −3 | capability blast radius (moderate) — client exposure if the model is manipulated |
| −1 | publisher verification (public source) — no provenance, but the source is public and inspectable |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Findings 0
Tools 12
Each tool and what it can reach — statically extracted from the published source.
list_filesreads sensitive dataget_assignmentno sensitive capabilityget_courseno sensitive capabilityget_course_modulesno sensitive capabilityget_course_syllabusno sensitive capabilityget_fileno sensitive capabilityget_module_itemsno sensitive capabilityget_quizno sensitive capabilitylist_assignmentsno sensitive capabilitylist_coursesno sensitive capability
Show 2 more tools ↓
list_planner_itemsno sensitive capabilitylist_quizzesno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (12 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
Versions 1
Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v0.1.2 latest |
A 96/100 | 0 | 1.13.0 | 2026-08-25 |
Embed this score
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
Verify this score yourself
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
npx mcptrustchecker scan canvas-lms-mcp --online --registry pypiOther implementations of Canvas Lms 4
Independent packages implementing the same tool, scanned with the same engine. Compare all 5 side by side →
TypeScript MCP 1.x server for Canvas LMS — 117 tools across Canvas courses, assignments, grades, gradebook history, quizzes, New Quizzes (LTI), outcomes, discussions, admin workflows, and more.
TypeScript MCP 1.x server for Canvas LMS — 88 tools across Canvas courses, assignments, grades, quizzes, discussions, admin workflows, and more.
Canvas LMS MCP (Model Context Protocol) server for AI assistants. Query student grades, assignments, and academic data through Claude or other MCP-compatible AI tools.
Canvas LMS MCP server
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