Borrowing it
Nothing to install: this file belongs to bruchris/canvas-lms-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/bruchris/canvas-lms-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/bruchris/canvas-lms-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/bruchris/canvas-lms-mcp/agents-md)<a href="https://agentmods.dev/instructions/bruchris/canvas-lms-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/bruchris/canvas-lms-mcp/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/bruchris/canvas-lms-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/bruchris/canvas-lms-mcp/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01878 | $0.01878 |
| Opus 5.5 | $0.00751 | $0.00751 |
| Sonnet 5.5 | $0.00376 | $0.00376 |
| Haiku 4.5 | $0.00188 | $0.00188 |
Grade A, and why
canvas-lms-mcp AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Canvas LMS MCP Server
Guide for AI agents consuming or contributing to canvas-lms-mcp.
Quick Start
# Run with npx (no install needed)
npx canvas-lms-mcp --token $CANVAS_API_TOKEN --base-url https://school.instructure.com
# Or install globally
npm install -g canvas-lms-mcp
canvas-lms-mcp --token $CANVAS_API_TOKEN --base-url $CANVAS_BASE_URL
Environment variables are also supported:
export CANVAS_API_TOKEN=your_token_here
export CANVAS_BASE_URL=https://school.instructure.com
npx canvas-lms-mcp
Architecture
Three-layer design with strict separation of concerns:
Layer 1: src/canvas/ Standalone Canvas REST API client
Pure fetch, no MCP dependency, independently importable
Modular classes composed into CanvasClient facade
Layer 2: src/tools/ MCP tool definitions
Each domain exports (canvas: CanvasClient) => ToolDefinition[]
Zod input schemas, annotations, error formatting
Layer 3: src/server.ts MCP server factory
src/stdio.ts stdio transport (Claude Desktop, Cursor, VS Code)
src/http.ts HTTP transport: remote_static_token (X-Canvas-Token)
or oauth_brokered (MCP OAuth login for Codex/ChatGPT/Claude)
src/auth/ Auth profiles; src/auth/oauth/ is the OAuth 2.1
authorization/resource server + Canvas Developer Key
client (docs/oauth-profile.md)
src/doctor.ts `canvas-lms-mcp doctor` setup diagnostics
Data Flow
AI Agent --> MCP Transport (stdio/HTTP)
|
McpServer (tool dispatch)
|
ToolDefinition.handler (Zod validation + error catch)
|
CanvasClient.module.method (typed API call)
|
CanvasHttpClient (fetch + auth + pagination)
|
Canvas LMS REST API
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago Changed · +5 lines · +78 tokens per session e5dcd34de414
- 1mo ago First seen · 172 lines · 1,800 tokens per session scan A aed982df7931
canvas-lms-mcp AGENTS.md is an instructions file published in the GitHub repository bruchris/canvas-lms-mcp (10 stars, last pushed yesterday), licensed MIT. It adds 1,878 tokens to every session, about $0.0075 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.