# canvas-mcp - Doramagic AI Context Pack

> 定位：安装前体验与判断资产。它帮助宿主 AI 有一个好的开始，但不代表已经安装、执行或验证目标项目。

## 充分原则

- **充分原则，不是压缩原则**：AI Context Pack 应该充分到让宿主 AI 在开工前理解项目价值、能力边界、使用入口、风险和证据来源；它可以分层组织，但不以最短摘要为目标。
- **压缩策略**：只压缩噪声和重复内容，不压缩会影响判断和开工质量的上下文。

## 给宿主 AI 的使用方式

你正在读取 Doramagic 为 canvas-mcp 编译的 AI Context Pack。请把它当作开工前上下文：帮助用户理解适合谁、能做什么、如何开始、哪些必须安装后验证、风险在哪里。不要声称你已经安装、运行或执行了目标项目。

## Claim 消费规则

- **事实来源**：Repo Evidence + Claim/Evidence Graph；Human Wiki 只提供显著性、术语和叙事结构。
- **事实最低状态**：`supported`
- `supported`：可以作为项目事实使用，但回答中必须引用 claim_id 和证据路径。
- `weak`：只能作为低置信度线索，必须要求用户继续核实。
- `inferred`：只能用于风险提示或待确认问题，不能包装成项目事实。
- `unverified`：不得作为事实使用，应明确说证据不足。
- `contradicted`：必须展示冲突来源，不得替用户强行选择一个版本。

## 它最适合谁

- **正在使用 Claude/Codex/Cursor/Gemini 等宿主 AI 的开发者**：README 或插件配置提到多个宿主 AI。 证据：`README.md` Claim：`clm_0003` supported 0.86
- **希望把专业流程带进宿主 AI 的用户**：仓库包含 Skill 文档。 证据：`skills/canvas-accessibility-auditor/SKILL.md`, `skills/canvas-bulk-grading/SKILL.md`, `skills/canvas-course-builder/SKILL.md`, `skills/canvas-course-qc/SKILL.md` 等 Claim：`clm_0004` supported 0.86

## 它能做什么

- **AI Skill / Agent 指令资产库**（可做安装前预览）：项目包含可被宿主 AI 读取的 Skill 或 Agent 指令文件，可用于把专业流程带入 Claude、Codex、Cursor 等宿主。 证据：`skills/canvas-accessibility-auditor/SKILL.md`, `skills/canvas-bulk-grading/SKILL.md`, `skills/canvas-course-builder/SKILL.md`, `skills/canvas-course-qc/SKILL.md` 等 Claim：`clm_0001` supported 0.86
- **命令行启动或安装流程**（需要安装后验证）：项目文档中存在可执行命令，真实使用需要在本地或宿主环境中运行这些命令。 证据：`README.md` Claim：`clm_0002` supported 0.86

## 怎么开始

- `npx skills add vishalsachdev/canvas-mcp` 证据：`README.md` Claim：`clm_0005` supported 0.86, `clm_0006` supported 0.86
- `npx skills add vishalsachdev/canvas-mcp -s canvas-week-plan` 证据：`README.md` Claim：`clm_0006` supported 0.86
- `pip install -e .` 证据：`README.md` Claim：`clm_0007` supported 0.86

## 继续前判断卡

- **当前建议**：需要管理员/安全审批
- **为什么**：继续前可能涉及密钥、账号、外部服务或敏感上下文，建议先经过管理员或安全审批。

### 30 秒判断

- **现在怎么做**：需要管理员/安全审批
- **最小安全下一步**：先跑 Prompt Preview；若涉及凭证或企业环境，先审批再试装
- **先别相信**：工具权限边界不能在安装前相信。
- **继续会触碰**：命令执行、宿主 AI 配置、本地环境或项目文件

### 现在可以相信

- **适合人群线索：正在使用 Claude/Codex/Cursor/Gemini 等宿主 AI 的开发者**（supported）：有 supported claim 或项目证据支撑，但仍不等于真实安装效果。 证据：`README.md` Claim：`clm_0003` supported 0.86
- **适合人群线索：希望把专业流程带进宿主 AI 的用户**（supported）：有 supported claim 或项目证据支撑，但仍不等于真实安装效果。 证据：`skills/canvas-accessibility-auditor/SKILL.md`, `skills/canvas-bulk-grading/SKILL.md`, `skills/canvas-course-builder/SKILL.md`, `skills/canvas-course-qc/SKILL.md` 等 Claim：`clm_0004` supported 0.86
- **能力存在：AI Skill / Agent 指令资产库**（supported）：可以相信项目包含这类能力线索；是否适合你的具体任务仍要试用或安装后验证。 证据：`skills/canvas-accessibility-auditor/SKILL.md`, `skills/canvas-bulk-grading/SKILL.md`, `skills/canvas-course-builder/SKILL.md`, `skills/canvas-course-qc/SKILL.md` 等 Claim：`clm_0001` supported 0.86
- **能力存在：命令行启动或安装流程**（supported）：可以相信项目包含这类能力线索；是否适合你的具体任务仍要试用或安装后验证。 证据：`README.md` Claim：`clm_0002` supported 0.86
- **存在 Quick Start / 安装命令线索**（supported）：可以相信项目文档出现过启动或安装入口；不要因此直接在主力环境运行。 证据：`README.md` Claim：`clm_0005` supported 0.86, `clm_0006` supported 0.86

### 现在还不能相信

- **工具权限边界不能在安装前相信。**（unverified）：MCP/tool 类项目通常会触碰文件、网络、浏览器或外部 API，必须真实检查权限和日志。
- **真实输出质量不能在安装前相信。**（unverified）：Prompt Preview 只能展示引导方式，不能证明真实项目中的结果质量。
- **宿主 AI 版本兼容性不能在安装前相信。**（unverified）：Claude、Cursor、Codex、Gemini 等宿主加载规则和版本差异必须在真实环境验证。
- **不会污染现有宿主 AI 行为，不能直接相信。**（inferred）：Skill、plugin、AGENTS/CLAUDE/GEMINI 指令可能改变宿主 AI 的默认行为。 证据：`AGENTS.md`, `CLAUDE.md`, `skills/canvas-accessibility-auditor/SKILL.md`, `skills/canvas-bulk-grading/SKILL.md` 等
- **可安全回滚不能默认相信。**（unverified）：除非项目明确提供卸载和恢复说明，否则必须先在隔离环境验证。
- **真实安装后是否与用户当前宿主 AI 版本兼容？**（unverified）：兼容性只能通过实际宿主环境验证。
- **项目输出质量是否满足用户具体任务？**（unverified）：安装前预览只能展示流程和边界，不能替代真实评测。
- **安装命令是否需要网络、权限或全局写入？**（unverified）：这影响企业环境和个人环境的安装风险。 证据：`README.md`

### 继续会触碰什么

- **命令执行**：包管理器、网络下载、本地插件目录、项目配置或用户主目录。 原因：运行第一条命令就可能产生环境改动；必须先判断是否值得跑。 证据：`README.md`
- **宿主 AI 配置**：Claude/Codex/Cursor/Gemini/OpenCode 等宿主的 plugin、Skill 或规则加载配置。 原因：宿主配置会改变 AI 后续工作方式，可能和用户已有规则冲突。 证据：`AGENTS.md`, `CLAUDE.md`, `skills/canvas-accessibility-auditor/SKILL.md`, `skills/canvas-bulk-grading/SKILL.md` 等
- **本地环境或项目文件**：安装结果、插件缓存、项目配置或本地依赖目录。 原因：安装前无法证明写入范围和回滚方式，需要隔离验证。 证据：`README.md`
- **环境变量 / API Key**：项目入口文档明确出现 API key、token、secret 或账号凭证配置。 原因：如果真实安装需要凭证，应先使用测试凭证并经过权限/合规判断。 证据：`AGENTS.md`, `CLAUDE.md`, `README.md`, `deploy/setup.sh` 等
- **宿主 AI 上下文**：AI Context Pack、Prompt Preview、Skill 路由、风险规则和项目事实。 原因：导入上下文会影响宿主 AI 后续判断，必须避免把未验证项包装成事实。

### 最小安全下一步

- **先跑 Prompt Preview**：用安装前交互式试用判断工作方式是否匹配，不需要授权或改环境。（适用：任何项目都适用，尤其是输出质量未知时。）
- **只在隔离目录或测试账号试装**：避免安装命令污染主力宿主 AI、真实项目或用户主目录。（适用：存在命令执行、插件配置或本地写入线索时。）
- **先备份宿主 AI 配置**：Skill、plugin、规则文件可能改变 Claude/Cursor/Codex 的默认行为。（适用：存在插件 manifest、Skill 或宿主规则入口时。）
- **不要使用真实生产凭证**：环境变量/API key 一旦进入宿主或工具链，可能产生账号和合规风险。（适用：出现 API、TOKEN、KEY、SECRET 等环境线索时。）
- **安装后只验证一个最小任务**：先验证加载、兼容、输出质量和回滚，再决定是否深用。（适用：准备从试用进入真实工作流时。）

### 退出方式

- **保留安装前状态**：记录原始宿主配置和项目状态，后续才能判断是否可恢复。
- **准备移除宿主 plugin / Skill / 规则入口**：如果试装后行为异常，可以把宿主 AI 恢复到试装前状态。
- **记录安装命令和写入路径**：没有明确卸载说明时，至少要知道哪些目录或配置需要手动清理。
- **准备撤销测试 API key 或 token**：测试凭证泄露或误用时，可以快速止损。
- **如果没有回滚路径，不进入主力环境**：不可回滚是继续前阻断项，不应靠信任或运气继续。

## 哪些只能预览

- 解释项目适合谁和能做什么
- 基于项目文档演示典型对话流程
- 帮助用户判断是否值得安装或继续研究

## 哪些必须安装后验证

- 真实安装 Skill、插件或 CLI
- 执行脚本、修改本地文件或访问外部服务
- 验证真实输出质量、性能和兼容性

## 边界与风险判断卡

- **把安装前预览误认为真实运行**：用户可能高估项目已经完成的配置、权限和兼容性验证。 处理方式：明确区分 prompt_preview_can_do 与 runtime_required。 Claim：`clm_0008` inferred 0.45
- **命令执行会修改本地环境**：安装命令可能写入用户主目录、宿主插件目录或项目配置。 处理方式：先在隔离环境或测试账号中运行。 证据：`README.md` Claim：`clm_0009` supported 0.86
- **待确认**：真实安装后是否与用户当前宿主 AI 版本兼容？。原因：兼容性只能通过实际宿主环境验证。
- **待确认**：项目输出质量是否满足用户具体任务？。原因：安装前预览只能展示流程和边界，不能替代真实评测。
- **待确认**：安装命令是否需要网络、权限或全局写入？。原因：这影响企业环境和个人环境的安装风险。

## 开工前工作上下文

### 加载顺序

- 先读取 how_to_use.host_ai_instruction，建立安装前判断资产的边界。
- 读取 claim_graph_summary，确认事实来自 Claim/Evidence Graph，而不是 Human Wiki 叙事。
- 再读取 intended_users、capabilities 和 quick_start_candidates，判断用户是否匹配。
- 需要执行具体任务时，优先查 role_skill_index，再查 evidence_index。
- 遇到真实安装、文件修改、网络访问、性能或兼容性问题时，转入 risk_card 和 boundaries.runtime_required。

### 任务路由

- **AI Skill / Agent 指令资产库**：先基于 role_skill_index / evidence_index 帮用户挑选可用角色、Skill 或工作流。 边界：可做安装前 Prompt 体验。 证据：`skills/canvas-accessibility-auditor/SKILL.md`, `skills/canvas-bulk-grading/SKILL.md`, `skills/canvas-course-builder/SKILL.md`, `skills/canvas-course-qc/SKILL.md` 等 Claim：`clm_0001` supported 0.86
- **命令行启动或安装流程**：先说明这是安装后验证能力，再给出安装前检查清单。 边界：必须真实安装或运行后验证。 证据：`README.md` Claim：`clm_0002` supported 0.86

### 上下文规模

- 文件总数：134
- 重要文件覆盖：40/134
- 证据索引条目：75
- 角色 / Skill 条目：8

### 证据不足时的处理

- **missing_evidence**：说明证据不足，要求用户提供目标文件、README 段落或安装后验证记录；不要补全事实。
- **out_of_scope_request**：说明该任务超出当前 AI Context Pack 证据范围，并建议用户先查看 Human Manual 或真实安装后验证。
- **runtime_request**：给出安装前检查清单和命令来源，但不要替用户执行命令或声称已执行。
- **source_conflict**：同时展示冲突来源，标记为待核实，不要强行选择一个版本。

## Prompt Recipes

### 适配判断

- 目标：判断这个项目是否适合用户当前任务。
- 预期输出：适配结论、关键理由、证据引用、安装前可预览内容、必须安装后验证内容、下一步建议。

```text
请基于 canvas-mcp 的 AI Context Pack，先问我 3 个必要问题，然后判断它是否适合我的任务。回答必须包含：适合谁、能做什么、不能做什么、是否值得安装、证据来自哪里。所有项目事实必须引用 evidence_refs、source_paths 或 claim_id。
```

### 安装前体验

- 目标：让用户在安装前感受核心工作流，同时避免把预览包装成真实能力或营销承诺。
- 预期输出：一段带边界标签的体验剧本、安装后验证清单和谨慎建议；不含真实运行承诺或强营销表述。

```text
请把 canvas-mcp 当作安装前体验资产，而不是已安装工具或真实运行环境。

请严格输出四段：
1. 先问我 3 个必要问题。
2. 给出一段“体验剧本”：用 [安装前可预览]、[必须安装后验证]、[证据不足] 三种标签展示它可能如何引导工作流。
3. 给出安装后验证清单：列出哪些能力只有真实安装、真实宿主加载、真实项目运行后才能确认。
4. 给出谨慎建议：只能说“值得继续研究/试装”“先补充信息后再判断”或“不建议继续”，不得替项目背书。

硬性边界：
- 不要声称已经安装、运行、执行测试、修改文件或产生真实结果。
- 不要写“自动适配”“确保通过”“完美适配”“强烈建议安装”等承诺性表达。
- 如果描述安装后的工作方式，必须使用“如果安装成功且宿主正确加载 Skill，它可能会……”这种条件句。
- 体验剧本只能写成“示例台词/假设流程”：使用“可能会询问/可能会建议/可能会展示”，不要写“已写入、已生成、已通过、正在运行、正在生成”。
- Prompt Preview 不负责给安装命令；如用户准备试装，只能提示先阅读 Quick Start 和 Risk Card，并在隔离环境验证。
- 所有项目事实必须来自 supported claim、evidence_refs 或 source_paths；inferred/unverified 只能作风险或待确认项。

```

### 角色 / Skill 选择

- 目标：从项目里的角色或 Skill 中挑选最匹配的资产。
- 预期输出：候选角色或 Skill 列表，每项包含适用场景、证据路径、风险边界和是否需要安装后验证。

```text
请读取 role_skill_index，根据我的目标任务推荐 3-5 个最相关的角色或 Skill。每个推荐都要说明适用场景、可能输出、风险边界和 evidence_refs。
```

### 风险预检

- 目标：安装或引入前识别环境、权限、规则冲突和质量风险。
- 预期输出：环境、权限、依赖、许可、宿主冲突、质量风险和未知项的检查清单。

```text
请基于 risk_card、boundaries 和 quick_start_candidates，给我一份安装前风险预检清单。不要替我执行命令，只说明我应该检查什么、为什么检查、失败会有什么影响。
```

### 宿主 AI 开工指令

- 目标：把项目上下文转成一次对话开始前的宿主 AI 指令。
- 预期输出：一段边界明确、证据引用明确、适合复制给宿主 AI 的开工前指令。

```text
请基于 canvas-mcp 的 AI Context Pack，生成一段我可以粘贴给宿主 AI 的开工前指令。这段指令必须遵守 not_runtime=true，不能声称项目已经安装、运行或产生真实结果。
```

## 角色 / Skill 索引

- 共索引 8 个角色 / Skill / 项目文档条目。

- **canvas-accessibility-auditor**（skill）：Accessibility audit and remediation for Canvas LMS courses. Scans content for WCAG violations, generates prioritized reports, guides fixes, and verifies remediation. Use when asked to "audit accessibility", "check WCAG compliance", "fix accessibility issues", or "run accessibility review". 激活提示：当用户任务与“canvas-accessibility-auditor”描述的流程高度相关时，先用它做安装前体验，再决定是否安装。 证据：`skills/canvas-accessibility-auditor/SKILL.md`
- **canvas-bulk-grading**（skill）：Bulk grading workflows for Canvas LMS assignments using rubrics. Covers single grading, batch grading, and code execution strategies with safety-first dry runs. 激活提示：当用户任务与“canvas-bulk-grading”描述的流程高度相关时，先用它做安装前体验，再决定是否安装。 证据：`skills/canvas-bulk-grading/SKILL.md`
- **canvas-course-builder**（skill）：Scaffold complete Canvas LMS course structures from specs, templates, or existing courses. Creates modules, pages, assignments, and discussions in bulk. Use when asked to "build a course", "scaffold modules", "create course structure", "set up a new course", or "copy course structure". 激活提示：当用户任务与“canvas-course-builder”描述的流程高度相关时，先用它做安装前体验，再决定是否安装。 证据：`skills/canvas-course-builder/SKILL.md`
- **canvas-course-qc**（skill）：Learning designer quality check for Canvas LMS courses. Audits module structure, content completeness, publishing state, date consistency, and rubric coverage. Use when asked to "QC a course", "is this course ready", "pre-semester check", or "quality review". 激活提示：当用户任务与“canvas-course-qc”描述的流程高度相关时，先用它做安装前体验，再决定是否安装。 证据：`skills/canvas-course-qc/SKILL.md`
- **canvas-discussion-facilitator**（skill）：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. 激活提示：当用户任务与“canvas-discussion-facilitator”描述的流程高度相关时，先用它做安装前体验，再决定是否安装。 证据：`skills/canvas-discussion-facilitator/SKILL.md`
- **canvas-morning-check**（skill）：Educator morning course health check for Canvas LMS. Shows submission rates, struggling students, grade distribution, and upcoming deadlines. Trigger phrases include "morning check", "course status", "how are my students", or any start-of-day teaching review. 激活提示：当用户任务与“canvas-morning-check”描述的流程高度相关时，先用它做安装前体验，再决定是否安装。 证据：`skills/canvas-morning-check/SKILL.md`
- **canvas-peer-review-manager**（skill）：Educator peer review management for Canvas LMS. Tracks completion rates, analyzes comment quality, flags problematic reviews, sends targeted reminders, and generates instructor-ready reports. Trigger phrases include "peer review status", "how are peer reviews going", "who hasn't reviewed", "review quality", or any peer review follow-up task. 激活提示：当用户任务与“canvas-peer-review-manager”描述的流程高度相关时，先用它做安装前体验，再决定是否安装。 证据：`skills/canvas-peer-review-manager/SKILL.md`
- **canvas-week-plan**（skill）：Student weekly assignment planner for Canvas LMS. Shows all due dates, submission status, grades, and peer reviews across all courses. Use when a student says "what's due", "plan my week", "weekly check", or wants to organize their coursework. 激活提示：当用户任务与“canvas-week-plan”描述的流程高度相关时，先用它做安装前体验，再决定是否安装。 证据：`skills/canvas-week-plan/SKILL.md`

## 证据索引

- 共索引 75 条证据。

- **Canvas MCP - AI Agent Guide**（documentation）：This guide helps AI agents Claude, Cursor, Zed, Windsurf, and other MCP clients effectively use the Canvas MCP server. 证据：`AGENTS.md`
- **CLAUDE.md**（documentation）：This file provides guidance to Claude Code claude.ai/code when working with code in this repository. 证据：`CLAUDE.md`
- **Canvas MCP Server**（documentation）：! License: MIT https://img.shields.io/badge/License-MIT-yellow.svg https://opensource.org/licenses/MIT ! skills.sh https://img.shields.io/badge/skills.sh-canvas--mcp-blue https://skills.sh 证据：`README.md`
- **canvas-mcp**（documentation）：Setup wizard for Canvas MCP https://github.com/vishalsachdev/canvas-mcp — configure any AI coding client to use Canvas LMS tools in one command. 证据：`cli/README.md`
- **internal/ — non-published project docs**（documentation）：internal/ — non-published project docs 证据：`internal/README.md`
- **Canvas MCP Tools Documentation**（documentation）：This document provides a comprehensive overview of all tools available in the Canvas MCP Server, organized by audience and functionality. 证据：`tools/README.md`
- **Configuration Overlays Baseline, Public, Enterprise**（documentation）：Configuration Overlays Baseline, Public, Enterprise 证据：`config/overlays/README.md`
- **Canvas Code Execution API**（documentation）：This directory contains the TypeScript code execution API for token-efficient bulk operations with Canvas LMS. 证据：`src/canvas_mcp/code_api/README.md`
- **Package**（package_manifest）：{ "name": "canvas-mcp", "version": "1.1.0", "description": "Setup wizard for Canvas MCP — configure any AI coding client in one command", "type": "module", "bin": { "canvas-mcp": "bin/cli.js" }, "files": "bin/", "lib/" , "keywords": "canvas", "lms", "mcp", "education", "claude", "codex", "cursor" , "author": "Vishal Sachdev ", "license": "MIT", "repository": { "type": "git", "url": "git+https://github.com/vishalsachdev/canvas-mcp.git", "directory": "cli" }, "dependencies": { "prompts": "^2.4.2", "@iarna/toml": "^2.2.5" }, "engines": { "node": " =18" } } 证据：`cli/package.json`
- **Package**（package_manifest）：{ "name": "canvas-mcp-code-api", "version": "1.0.6", "description": "TypeScript code execution API for Canvas MCP", "type": "module", "scripts": { "build": "tsc", "exec": "node --loader ts-node/esm" }, "dependencies": { "node-fetch": "^3.3.2" }, "devDependencies": { "@types/node": "^20.10.0", "ts-node": "^10.9.2", "tsx": "^4.20.6", "typescript": "^5.3.3" } } 证据：`package.json`
- **Canvas Accessibility Auditor**（skill_instruction）：Full accessibility audit cycle for Learning Designers: scan course content, generate prioritized report, guide remediation of fixable issues, re-scan to verify fixes, produce compliance summary. 证据：`skills/canvas-accessibility-auditor/SKILL.md`
- **Canvas Bulk Grading**（skill_instruction）：Grade Canvas LMS assignments efficiently using rubric-based workflows. This skill requires the Canvas MCP server to be running and authenticated with an instructor or TA token. 证据：`skills/canvas-bulk-grading/SKILL.md`
- **Canvas Course Builder**（skill_instruction）：Build complete Canvas course structures from a natural language description, a JSON template, or by cloning an existing course. Creates modules with pages, assignments, discussions, and proper organization in one workflow. 证据：`skills/canvas-course-builder/SKILL.md`
- **Canvas Course QC**（skill_instruction）：Automated quality checklist for Learning Designers to verify a Canvas course is ready for students. Runs structure, content, publishing, and completeness checks — then reports issues by priority. 证据：`skills/canvas-course-qc/SKILL.md`
- **Canvas Discussion Facilitator**（skill_instruction）：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. 证据：`skills/canvas-discussion-facilitator/SKILL.md`
- **Canvas Morning Check**（skill_instruction）：A comprehensive course health check for educators using Canvas LMS. Run it at the start of a teaching day or week to surface submission gaps, students who need support, and upcoming deadlines -- then take action directly from the results. 证据：`skills/canvas-morning-check/SKILL.md`
- **Canvas Peer Review Manager**（skill_instruction）：A complete peer review management workflow for educators using Canvas LMS. Monitor completion, analyze quality, identify students who need follow-up, send reminders, and export data -- all through MCP tool calls against the Canvas API. 证据：`skills/canvas-peer-review-manager/SKILL.md`
- **Canvas Week Plan**（skill_instruction）：Generate a comprehensive weekly plan for a student, showing all upcoming assignments, current grades, submission status, and pending peer reviews across all enrolled courses. 证据：`skills/canvas-week-plan/SKILL.md`
- **License**（source_file）：Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files the "Software" , to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: 证据：`LICENSE`
- **Feasibility & Design: Interactive UI for Canvas results via MCP Apps**（documentation）：Feasibility & Design: Interactive UI for Canvas results via MCP Apps 证据：`docs/mcp-apps-feasibility.md`
- **Changelog**（documentation）：All notable changes to this project will be documented in this file. 证据：`CHANGELOG.md`
- **Security Policy**（documentation）：We take the security of Canvas MCP seriously. If you discover a security vulnerability, please follow these guidelines: 证据：`SECURITY.md`
- **The Moment Your Side Project Stops Being Yours**（documentation）：The Moment Your Side Project Stops Being Yours 证据：`articles/2026-02-23-the-moment-your-side-project-stops-being-yours.md`
- **Example: Bulk Grading Jupyter Notebooks**（documentation）：Example: Bulk Grading Jupyter Notebooks 证据：`examples/bulk_grading_example.md`
- **Common Issues and Solutions**（documentation）：Quick fixes for the most common problems with Canvas MCP. 证据：`examples/common_issues.md`
- **Educator Quick Start Guide**（documentation）：This guide shows the most common tasks educators use Canvas MCP for. 证据：`examples/educator_quickstart.md`
- **Real-World Workflows**（documentation）：Practical examples showing how to combine Canvas MCP features for common teaching and learning scenarios. 证据：`examples/real_world_workflows.md`
- **Student Quick Start Guide**（documentation）：This guide shows common tasks students can accomplish with Canvas MCP. 证据：`examples/student_quickstart.md`
- **Canvas MCP — Architecture Review: MCP Server vs. Direct Canvas API Access**（documentation）：Canvas MCP — Architecture Review: MCP Server vs. Direct Canvas API Access 证据：`internal/architecture-review.md`
- **Architecture & Key Components**（documentation）：Design reference extracted from CLAUDE.md. 证据：`internal/architecture.md`
- **Claude Code Development Best Practices for Canvas MCP**（documentation）：Claude Code Development Best Practices for Canvas MCP 证据：`internal/best-practices.md`
- **Research spec handoff : Does Azure App Service native Entra auth validate the MCP bearer token for us?**（documentation）：Research spec handoff : Does Azure App Service native Entra auth validate the MCP bearer token for us? 证据：`internal/research-appservice-mcp-entra.md`
- **Session History**（documentation）：Archived session log entries from canvas-mcp CLAUDE.md. 证据：`internal/session-history.md`
- **Glama**（structured_config）：{ "$schema": "https://glama.ai/mcp/schemas/server.json", "maintainers": "vishalsachdev" } 证据：`glama.json`
- **Manifest**（structured_config）：{ "manifest version": "0.2", "name": "canvas-mcp", "display name": "Canvas MCP", "version": "1.4.0", "description": "Work with your Canvas LMS courses through an AI assistant — assignments, grading with rubrics, discussions, peer-review analytics, messaging, and more.", "long description": "Canvas MCP gives an MCP client Claude Desktop, etc. ~90 tools for Canvas LMS: list/manage courses, assignments and submissions, grade with rubrics, facilitate discussions, run peer-review and student analytics, send messages, and audit course content for accessibility. It runs locally as a stdio server and calls Canvas with YOUR own Canvas API token — every action runs under your own Canvas role and audi… 证据：`manifest.json`
- **Server**（structured_config）：{ "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json", "name": "io.github.vishalsachdev/canvas-mcp", "description": "Canvas LMS integration for students and educators with FERPA-compliant analytics and workflows", "version": "1.5.0", "websiteUrl": "https://canvas-mcp.illinihunt.org/", "repository": { "url": "https://github.com/vishalsachdev/canvas-mcp", "source": "github", "id": "940427833" }, "tags": "education", "lms", "canvas", "teaching", "learning", "api", "student-tools", "educator-tools", "peer-review", "rubrics", "analytics", "ferpa" , "license": "MIT", "transport": { "type": "stdio" }, "packages": { "registryType": "pypi", "identifier": "canvas… 证据：`server.json`
- **Tool Manifest**（structured_config）：{ "$schema": "https://json-schema.org/draft/2020-12/schema", "name": "canvas-mcp", "version": "1.5.0", "description": "MCP server for Canvas Learning Management System API", "categories": { "id": "student", "name": "Student Tools", "description": "Personal academic tracking using Canvas 'self' endpoints" }, { "id": "educator", "name": "Educator Tools", "description": "Course management, grading, and analytics for instructors/TAs" }, { "id": "shared", "name": "Shared Tools", "description": "Content access tools for both students and educators" }, { "id": "developer", "name": "Developer Tools", "description": "Bulk operations, code execution, and tool discovery" } , "tools": { "name": "get my… 证据：`tools/TOOL_MANIFEST.json`
- **Tsconfig**（structured_config）：{ "compilerOptions": { "target": "ES2022", "module": "ES2022", "lib": "ES2022" , "moduleResolution": "node", "esModuleInterop": true, "allowSyntheticDefaultImports": true, "strict": true, "skipLibCheck": true, "forceConsistentCasingInFileNames": true, "resolveJsonModule": true, "outDir": "./dist", "rootDir": "./src/canvas mcp/code api", "declaration": true, "declarationMap": true, "sourceMap": true }, "include": "src/canvas mcp/code api/ / " , "exclude": "node modules", "dist" , "ts-node": { "esm": true, "experimentalSpecifierResolution": "node" } } 证据：`tsconfig.json`
- **Impact**（structured_config）：{ "collected at": "2026-06-29T14:05:01Z", "github": { "stars": 153, "forks": 45, "contributors": 13, "open issues": 5, "views 14d": 866, "views 14d unique": 378, "clones 14d": 1830, "clones 14d unique": 585, "referrers": { "referrer": "Google", "count": 335, "uniques": 194 }, { "referrer": "github.com", "count": 103, "uniques": 60 }, { "referrer": "reddit.com", "count": 26, "uniques": 20 }, { "referrer": "canvas-mcp.illinihunt.org", "count": 22, "uniques": 7 }, { "referrer": "Bing", "count": 17, "uniques": 11 }, { "referrer": "search.brave.com", "count": 17, "uniques": 6 }, { "referrer": "chatgpt.com", "count": 6, "uniques": 2 }, { "referrer": "DuckDuckGo", "count": 3, "uniques": 3 }, { "re… 证据：`docs/data/impact.json`
- **Git files**（source_file）：Python cache pycache .py cod $py.class .so .Python 证据：`.dockerignore`
- **Python files to ignore**（source_file）：Python files to ignore Uncomment the following lines if you want to ignore specific Python files some specific file.py temp .py 证据：`.gitignore`
- **Allowlist: ignore everything at the repo root, then un-ignore ONLY what the**（source_file）：Allowlist: ignore everything at the repo root, then un-ignore ONLY what the Python server needs at runtime. This keeps the bundle minimal and prevents shipping internal/ops files CLAUDE.md, deploy/, docs/, etc. to end users. / !/manifest.json !/pyproject.toml !/uv.lock !/LICENSE !/README.md !/env.template !/src 证据：`.mcpbignore`
- **Cname**（source_file）：canvas-mcp.illinihunt.org 证据：`CNAME`
- **Use Python 3.12 slim image for smaller size**（source_file）：Use Python 3.12 slim image for smaller size FROM python:3.12-slim 证据：`Dockerfile`
- **2026 02 23 The Moment Your Side Project Stops Being Yours**（source_file）：The Moment Your Side Project Stops Being Yours How strangers across three continents turned a solo teaching tool into something I never expected A year ago, I pushed the first commit to canvas-mcp — a tool born from frustration with Canvas LMS's clunky interface. I built it for myself: an MCP server that let me talk to Canvas through Claude instead of clicking through seventeen screens to grade an assignment. I never expected strangers to care. But here I am, scrolling through pull requests from a professor in North Carolina, a student in Singapore, and an astrophysicist down the hall — and I'm realizing the most rewarding part of open source isn't the code. It's the people. The First Pull… 证据：`articles/2026-02-23-the-moment-your-side-project-stops-being-yours.html`
- **cli/.gitignore**（source_file）：node modules/ 证据：`cli/.gitignore`
- **Canvas Mcp**（source_file）：Unit Description=Canvas MCP Server HTTP transport After=network.target 证据：`deploy/canvas-mcp.service`
- **Canvas MCP Server — nginx reverse proxy**（source_file）：Canvas MCP Server — nginx reverse proxy Cloudflare handles browser-facing SSL; origin uses self-signed cert Place in /etc/nginx/sites-available/ and symlink to sites-enabled/ 证据：`deploy/nginx-canvas-mcp.conf`
- **Setup**（source_file）：set -euo pipefail INSTALL DIR="/opt/canvas-mcp" REPO URL="https://github.com/vishalsachdev/canvas-mcp.git" echo "=== Canvas MCP Server Deployment ===" if -d "$INSTALL DIR" ; then echo "Updating existing installation..." cd "$INSTALL DIR" git pull origin main else echo "Cloning repository..." git clone "$REPO URL" "$INSTALL DIR" cd "$INSTALL DIR" fi echo "Setting up Python environment..." python3 -m venv .venv .venv/bin/pip install --upgrade pip .venv/bin/pip install -e . if ! -f .env ; then cat .env /dev/null fi echo "Configuring nginx..." cp deploy/nginx-canvas-mcp.conf /etc/nginx/sites-available/canvas-mcp ln -sf /etc/nginx/sites-available/canvas-mcp /etc/nginx/sites-enabled/ nginx -t &&… 证据：`deploy/setup.sh`
- **Wrangler Pages upload-exclude gitignore syntax .**（source_file）：Wrangler Pages upload-exclude gitignore syntax . wrangler does NOT respect .gitignore — without this file, local-only sensitive docs inside docs/ get published to the public site. Keep in sync with the docs/ entries in the repo .gitignore. 证据：`docs/.assetsignore`
- **Bulk Grading**（source_file）：Code Execution API - Canvas MCP 📚 Canvas MCP Features Students Educators Designers Code API GitHub Get Started ☰ 💻 Developer Guide Code Execution API Achieve 99.7% token savings on bulk operations by executing TypeScript locally instead of loading data into Claude's context. Overview Token Savings Traditional Approach Code Execution Bulk Grading Example Discussion Grading Discovering Tools Dry Run Mode Best Practices Troubleshooting Overview The Canvas MCP Code Execution API enables you to perform bulk operations on Canvas data with minimal token usage. Instead of loading all submissions into Claude's context, the code executes locally and returns only summaries. 💡 When to Use Traditional t… 证据：`docs/bulk-grading.html`
- **Educator Guide**（source_file）：Educator Guide - Canvas MCP 📚 Canvas MCP Features Students Educators Designers Code API GitHub Get Started ☰ 👨‍🏫 Educator Guide Canvas MCP for Educators AI-powered course management with FERPA-compliant data handling. Track submissions, grade efficiently, and communicate with students. What Can It Do? Prerequisites Installation FERPA Compliance How to Use Available Tools Example Workflows Advanced Features Troubleshooting What Can Canvas MCP Do for You? Canvas MCP provides AI-powered assistance for common teaching workflows: 📋 Assignment Management Track submissions, identify missing work, analyze completion rates across your courses. ✏️ Grading & Rubrics Manage rubrics, grade submissions e… 证据：`docs/educator-guide.html`
- **Edit .env with your CANVAS API TOKEN and CANVAS API URL**（source_file）：Canvas MCP - AI-Powered Canvas LMS Integration { "@context": "https://schema.org", "@type": "SoftwareApplication", "name": "Canvas MCP", "description": "AI-powered Canvas LMS integration with 93 MCP tools for students, educators, and developers. Bridge AI assistants like Claude, ChatGPT, and Cursor with Canvas for natural language course management.", "applicationCategory": "EducationalApplication", "operatingSystem": "Cross-platform", "offers": { "@type": "Offer", "price": "0", "priceCurrency": "USD" }, "author": { "@type": "Person", "name": "Vishal Sachdev", "url": "https://github.com/vishalsachdev" }, "publisher": { "@type": "Person", "name": "Vishal Sachdev" }, "url": "https://canvas-mc… 证据：`docs/index.html`
- **Learning Designer Guide**（source_file）：Learning Designer Guide - Canvas MCP 📚 Canvas MCP Features Students Educators Designers Code API GitHub Get Started ☰ 🎨 Learning Designer Guide Canvas MCP for Learning Designers AI-powered course design, quality assurance, and accessibility compliance at scale. Scaffold courses, audit content, and remediate WCAG violations. What Can It Do? Prerequisites Installation Available Tools AI Skills Example Workflows Troubleshooting What Can Canvas MCP Do for You? Canvas MCP provides AI-powered tools for learning designers who build, audit, and maintain Canvas courses: 🏗️ Course Scaffolding Build complete course structures from specs, templates, or by cloning existing courses. Create modules, pages… 证据：`docs/learning-designer-guide.html`
- **Canvas MCP**（source_file）：Canvas MCP is an open-source Model Context Protocol MCP server that bridges AI assistants with Canvas Learning Management System LMS . It provides 80+ tools for students, educators, and developers to interact with Canvas using natural language. Works with Claude, ChatGPT, Cursor, Windsurf, Zed, and any MCP-compatible client. FERPA-compliant with privacy-first design. 证据：`docs/llms.txt`
- **Canvas MCP - https://canvas-mcp.illinihunt.org**（source_file）：Canvas MCP - https://canvas-mcp.illinihunt.org AI-powered Canvas LMS integration 证据：`docs/robots.txt`
- **Sitemap**（source_file）：https://canvas-mcp.illinihunt.org/ 2026-02-01 weekly 1.0 https://canvas-mcp.illinihunt.org/student-guide.html 2026-02-01 monthly 0.8 https://canvas-mcp.illinihunt.org/educator-guide.html 2026-02-01 monthly 0.8 https://canvas-mcp.illinihunt.org/bulk-grading.html 2026-02-01 monthly 0.7 https://canvas-mcp.illinihunt.org/llms.txt 2026-02-01 monthly 0.6 证据：`docs/sitemap.xml`
- **Student Guide**（source_file）：Student Guide - Canvas MCP 📚 Canvas MCP Features Students Educators Designers Code API GitHub Get Started ☰ 👨‍🎓 Student Guide Canvas MCP for Students Your AI-powered study assistant that helps you track assignments, monitor grades, and stay organized throughout the semester. What Can It Do? Prerequisites Installation Configuration How to Use Available Tools Privacy & Security Example Workflows Troubleshooting What Can Canvas MCP Do for You? Think of this as having an AI study buddy that knows everything about your Canvas courses: 🎯 Track Assignments "What's due this week?" - Get a complete view of deadlines across all courses. 📊 Monitor Grades "What's my current grade?" - Stay on top of you… 证据：`docs/student-guide.html`
- **Styles**（source_file）：:root { ⋮---- { ⋮---- html { ⋮---- body { ⋮---- .container { ⋮---- nav { ⋮---- .nav-container { ⋮---- .logo { ⋮---- .logo-icon { ⋮---- .nav-links { ⋮---- .nav-links a { ⋮---- .nav-links a:hover, ⋮---- .nav-cta { ⋮---- .btn { ⋮---- .btn-primary { ⋮---- .btn-primary:hover { ⋮---- .btn-secondary { ⋮---- .btn-secondary:hover { ⋮---- .doc-page { ⋮---- .doc-header { ⋮---- .doc-header-content { ⋮---- .doc-badge { ⋮---- .doc-badge.student { ⋮---- .doc-badge.educator { ⋮---- .doc-badge.developer { ⋮---- .doc-header h1 { ⋮---- .doc-header p { ⋮---- .doc-layout { ⋮---- .doc-sidebar { ⋮---- .doc-nav { ⋮---- .doc-nav li { ⋮---- .doc-nav a { ⋮---- .doc-nav a:hover { ⋮---- .doc-nav a.active { ⋮---- .doc-c… 证据：`docs/styles.css`
- **Workshop**（source_file）：Canvas MCP Workshop — Setup Guide , ::before, ::after { box-sizing: border-box; margin: 0; padding: 0; } body { font-family: 'Inter', -apple-system, BlinkMacSystemFont, sans-serif; background: f8fafc; color: 1e293b; line-height: 1.6; } / Header / .header { background: linear-gradient 135deg, 1e3a5f 0%, 0f172a 100% ; color: white; text-align: center; padding: 3rem 2rem 2.5rem; } .header .badge { display: inline-block; background: rgba 6, 182, 212, 0.3 ; border: 1px solid rgba 6, 182, 212, 0.5 ; color: 67e8f9; padding: 0.3rem 1rem; border-radius: 999px; font-size: 0.8rem; font-weight: 600; text-transform: uppercase; letter-spacing: 0.05em; margin-bottom: 1rem; } .header h1 { font-size: 2.5rem… 证据：`docs/workshop.html`
- 其余 15 条证据见 `AI_CONTEXT_PACK.json` 或 `EVIDENCE_INDEX.json`。

## 宿主 AI 必须遵守的规则

- **把本资产当作开工前上下文，而不是运行环境。**：AI Context Pack 只包含证据化项目理解，不包含目标项目的可执行状态。 证据：`AGENTS.md`, `CLAUDE.md`, `README.md`
- **回答用户时区分可预览内容与必须安装后才能验证的内容。**：安装前体验的消费者价值来自降低误装和误判，而不是伪装成真实运行。 证据：`AGENTS.md`, `CLAUDE.md`, `README.md`

## 用户开工前应该回答的问题

- 你准备在哪个宿主 AI 或本地环境中使用它？
- 你只是想先体验工作流，还是准备真实安装？
- 你最在意的是安装成本、输出质量、还是和现有规则的冲突？

## 验收标准

- 所有能力声明都能回指到 evidence_refs 中的文件路径。
- AI_CONTEXT_PACK.md 没有把预览包装成真实运行。
- 用户能在 3 分钟内看懂适合谁、能做什么、如何开始和风险边界。

---

## Doramagic Context Augmentation

下面内容用于强化 Repomix/AI Context Pack 主体。Human Manual 只提供阅读骨架；踩坑日志会被转成宿主 AI 必须遵守的工作约束。

## Human Manual 骨架

使用规则：这里只是项目阅读路线和显著性信号，不是事实权威。具体事实仍必须回到 repo evidence / Claim Graph。

宿主 AI 硬性规则：
- 不得把页标题、章节顺序、摘要或 importance 当作项目事实证据。
- 解释 Human Manual 骨架时，必须明确说它只是阅读路线/显著性信号。
- 能力、安装、兼容性、运行状态和风险判断必须引用 repo evidence、source path 或 Claim Graph。

- **系统架构与核心组件**：importance `high`
  - source_paths: src/canvas_mcp/server.py, src/canvas_mcp/core/config.py, src/canvas_mcp/core/client.py, src/canvas_mcp/core/credentials.py, src/canvas_mcp/core/cache.py
- **工具生态系统（93 个工具 + 8 个技能）**：importance `high`
  - source_paths: src/canvas_mcp/tools/assignments.py, src/canvas_mcp/tools/courses.py, src/canvas_mcp/tools/discussions.py, src/canvas_mcp/tools/rubrics.py, src/canvas_mcp/tools/pages.py
- **安全、隐私与合规**：importance `high`
  - source_paths: src/canvas_mcp/core/anonymization.py, src/canvas_mcp/core/audit.py, src/canvas_mcp/core/file_validation.py, src/canvas_mcp/tools/code_execution.py, src/canvas_mcp/core/access/factory.py
- **部署、配置与迁移**：importance `high`
  - source_paths: README.md, env.template, Dockerfile, deploy/setup.sh, deploy/canvas-mcp.service

## Repo Inspection Evidence / 源码检查证据

- repo_clone_verified: true
- repo_inspection_verified: true
- repo_commit: `f86a7c30184a0614f707454453e0151a9d58704b`
- inspected_files: `Dockerfile`, `README.md`, `package.json`, `pyproject.toml`, `uv.lock`, `docs/data/impact.json`, `docs/mcp-apps-feasibility.md`, `examples/bulk_grading_example.md`, `examples/common_issues.md`, `examples/educator_quickstart.md`, `examples/real_world_workflows.md`, `examples/student_quickstart.md`, `src/canvas_mcp/__init__.py`, `src/canvas_mcp/code_api/README.md`, `src/canvas_mcp/code_api/canvas/assignments/index.ts`, `src/canvas_mcp/code_api/canvas/assignments/listSubmissions.ts`, `src/canvas_mcp/code_api/canvas/communications/index.ts`, `src/canvas_mcp/code_api/canvas/communications/sendMessage.ts`, `src/canvas_mcp/code_api/canvas/courses/getCourseDetails.ts`, `src/canvas_mcp/code_api/canvas/courses/index.ts`

宿主 AI 硬性规则：
- 没有 repo_clone_verified=true 时，不得声称已经读过源码。
- 没有 repo_inspection_verified=true 时，不得把 README/docs/package 文件判断写成事实。
- 没有 quick_start_verified=true 时，不得声称 Quick Start 已跑通。

## Doramagic Pitfall Constraints / 踩坑约束

这些规则来自 Doramagic 发现、验证或编译过程中的项目专属坑点。宿主 AI 必须把它们当作工作约束，而不是普通说明文字。

### Constraint 1: 失败模式：security_permissions: mcp-remote clients re-login hourly — request `offline_access` scope for refresh token

- Trigger: Developers should check this security_permissions risk before relying on the project: mcp-remote clients re-login hourly — request `offline_access` scope for refresh token
- Host AI rule: Before packaging this project, run the relevant install/config/quickstart check for: mcp-remote clients re-login hourly — request `offline_access` scope for refresh token. Context: Source discussion did not expose a precise runtime context.
- Why it matters: Developers may expose sensitive permissions or credentials: mcp-remote clients re-login hourly — request `offline_access` scope for refresh token
- Evidence: failure_mode_cluster:github_issue | https://github.com/vishalsachdev/canvas-mcp/issues/146 | mcp-remote clients re-login hourly — request `offline_access` scope for refresh token
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 2: 来源证据：Harden execute_typescript sandbox: container-level egress control, non-root user, prebuilt tsx image

- Trigger: GitHub 社区证据显示该项目存在一个安全/权限相关的待验证问题：Harden execute_typescript sandbox: container-level egress control, non-root user, prebuilt tsx image
- Why it matters: 可能阻塞安装或首次运行。
- Evidence: community_evidence:github | https://github.com/vishalsachdev/canvas-mcp/issues/157 | 来源讨论提到 node 相关条件，需在安装/试用前复核。
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 3: 来源证据：Migrate to MCP SDK v2 (relax `mcp<2` pin) before stable ships (~2026-07-27)

- Trigger: GitHub 社区证据显示该项目存在一个安全/权限相关的待验证问题：Migrate to MCP SDK v2 (relax `mcp<2` pin) before stable ships (~2026-07-27)
- Why it matters: 可能影响升级、迁移或版本选择。
- Evidence: community_evidence:github | https://github.com/vishalsachdev/canvas-mcp/issues/142 | 来源讨论提到 python 相关条件，需在安装/试用前复核。
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 4: 来源证据：mcp-remote proxy hangs indefinitely when hosted-server session goes stale (no timeout/fail-fast)

- Trigger: GitHub 社区证据显示该项目存在一个安全/权限相关的待验证问题：mcp-remote proxy hangs indefinitely when hosted-server session goes stale (no timeout/fail-fast)
- Why it matters: 可能影响授权、密钥配置或安全边界。
- Evidence: community_evidence:github | https://github.com/vishalsachdev/canvas-mcp/issues/159 | 来源类型 github_issue 暴露的待验证使用条件。
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 5: 失败模式：installation: Harden execute_typescript sandbox: container-level egress control, non-root user, prebuilt ts...

- Trigger: Developers should check this installation risk before relying on the project: Harden execute_typescript sandbox: container-level egress control, non-root user, prebuilt tsx image
- Host AI rule: Before packaging this project, run the relevant install/config/quickstart check for: Harden execute_typescript sandbox: container-level egress control, non-root user, prebuilt tsx image. Context: Observed when using node, docker
- Why it matters: Developers may fail before the first successful local run: Harden execute_typescript sandbox: container-level egress control, non-root user, prebuilt tsx image
- Evidence: failure_mode_cluster:github_issue | https://github.com/vishalsachdev/canvas-mcp/issues/157 | Harden execute_typescript sandbox: container-level egress control, non-root user, prebuilt tsx image
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 6: 失败模式：installation: v1.0.8

- Trigger: Developers should check this installation risk before relying on the project: v1.0.8
- Host AI rule: Before packaging this project, run the relevant install/config/quickstart check for: v1.0.8. Context: Observed during installation or first-run setup.
- Why it matters: Upgrade or migration may change expected behavior: v1.0.8
- Evidence: failure_mode_cluster:github_release | https://github.com/vishalsachdev/canvas-mcp/releases/tag/v1.0.8 | v1.0.8
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 7: 失败模式：installation: v1.1.0 — Learning Designer & Token Optimization

- Trigger: Developers should check this installation risk before relying on the project: v1.1.0 — Learning Designer & Token Optimization
- Host AI rule: Before packaging this project, run the relevant install/config/quickstart check for: v1.1.0 — Learning Designer & Token Optimization. Context: Observed when using python
- Why it matters: Upgrade or migration may change expected behavior: v1.1.0 — Learning Designer & Token Optimization
- Evidence: failure_mode_cluster:github_release | https://github.com/vishalsachdev/canvas-mcp/releases/tag/v1.1.0 | v1.1.0 — Learning Designer & Token Optimization
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 8: 失败模式：installation: v1.2.0

- Trigger: Developers should check this installation risk before relying on the project: v1.2.0
- Host AI rule: Before packaging this project, run the relevant install/config/quickstart check for: v1.2.0. Context: Observed when using node, windows
- Why it matters: Upgrade or migration may change expected behavior: v1.2.0
- Evidence: failure_mode_cluster:github_release | https://github.com/vishalsachdev/canvas-mcp/releases/tag/v1.2.0 | v1.2.0
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 9: 失败模式：installation: v1.3.0

- Trigger: Developers should check this installation risk before relying on the project: v1.3.0
- Host AI rule: Before packaging this project, run the relevant install/config/quickstart check for: v1.3.0. Context: Observed during installation or first-run setup.
- Why it matters: Upgrade or migration may change expected behavior: v1.3.0
- Evidence: failure_mode_cluster:github_release | https://github.com/vishalsachdev/canvas-mcp/releases/tag/v1.3.0 | v1.3.0
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。

### Constraint 10: 失败模式：installation: v1.4.0

- Trigger: Developers should check this installation risk before relying on the project: v1.4.0
- Host AI rule: Before packaging this project, run the relevant install/config/quickstart check for: v1.4.0. Context: Observed when using python
- Why it matters: Upgrade or migration may change expected behavior: v1.4.0
- Evidence: failure_mode_cluster:github_release | https://github.com/vishalsachdev/canvas-mcp/releases/tag/v1.4.0 | v1.4.0
- Hard boundary: 不要把这个坑点包装成已解决、已验证或可忽略，除非后续验证证据明确证明它已经关闭。