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\r\n\r\n## 🌟 项目简介\r\n\r\n**作业批改 MCP** 是一个基于 Model Context Protocol (MCP) 的智能作业批改服务，通过集成魔搭社区的 Qwen3-VL-235B-A22B-Instruct 多模态模型，实现对学生作业图片的智能识别和批改。\r\n\r\n### ✨ 核心功能\r\n\r\n- 🎯 **智能识别**: 自动识别作业图片中的题目和学生答案\r\n- 🔍 **精准批改**: 逐题判断答案正确性，提供详细评分\r\n- 💡 **智能解析**: 为每道题提供简洁明了的解析说明\r\n- 📊 **结构化输出**: 按照标准格式输出批改结果\r\n- 🚀 **批量处理**: 支持同时批改多份作业\r\n- 🎨 **多科支持**: 支持数学、语文、英语等多个学科\r\n- 🌐 **URL支持**: 支持Base64和URL两种方式上传图片\r\n- ⚡ **CDN兼容**: 支持各种CDN图片链接，自动处理重定向\r\n\r\n## 🚀 快速开始\r\n\r\n### 📋 环境要求\r\n\r\n- Node.js >= 18.0.0\r\n- npm 或 pnpm 包管理器\r\n- 魔搭社区 API 密钥\r\n\r\n### 📦 安装\r\n\r\n#### 全局安装（推荐）\r\n\r\n```bash\r\nnpm install -g @pickstar-2002/homework-grading-mcp@latest\r\n```\r\n\r\n#### 本地安装\r\n\r\n```bash\r\nnpm install @pickstar-2002/homework-grading-mcp@latest\r\n```\r\n\r\n### ⚙️ 配置\r\n\r\n1. **获取魔搭社区 API 密钥**\r\n - 访问 [魔搭社区](https://www.modelscope.cn/)\r\n - 注册账号并获取 API 密钥\r\n\r\n2. **设置环境变量**\r\n \r\n 创建 `.env` 文件：\r\n ```bash\r\n cp .env.example .env\r\n ```\r\n \r\n 编辑 `.env` 文件，填入你的 API 密钥：\r\n ```env\r\n MODELSCOPE_API_KEY=your-modelscope-api-key-here\r\n ```\r\n\r\n## 🔧 使用说明\r\n\r\n### 🏃♂️ 命令行启动\r\n\r\n```bash\r\n# 直接运行\r\nhomework-grading-mcp\r\n\r\n# 或使用 npx（推荐）\r\nnpx @pickstar-2002/homework-grading-mcp@latest\r\n```\r\n\r\n### 🔌 IDE 集成配置\r\n\r\n#### VS Code + Cline 配置\r\n\r\n1. **安装 Cline 插件**：在 VS Code 扩展商店搜索并安装 \"Cline\" 插件\r\n\r\n2. **配置 MCP 服务器**：在 VS Code 设置中搜索 \"MCP\"，找到 Cline 的 MCP 配置\r\n\r\n3. **添加服务器配置**：\r\n\r\n```json\r\n{\r\n \"mcpServers\": {\r\n \"homework-grading\": {\r\n \"command\": \"npx\",\r\n \"args\": [\"@pickstar-2002/homework-grading-mcp@latest\"],\r\n \"env\": {\r\n \"MODELSCOPE_API_KEY\": \"your-modelscope-api-key-here\"\r\n }\r\n }\r\n }\r\n}\r\n```\r\n\r\n4. **重启 VS Code**：配置完成后重启 VS Code 使配置生效\r\n\r\n#### Claude Desktop 配置\r\n\r\n1. **找到配置文件**：\r\n - **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`\r\n - **Windows**: `%APPDATA%\\Claude\\claude_desktop_config.json`\r\n\r\n2. **编辑配置文件**，添加 MCP 服务器配置：\r\n\r\n```json\r\n{\r\n \"mcpServers\": {\r\n \"homework-grading\": {\r\n \"command\": \"npx\",\r\n \"args\": [\"@pickstar-2002/homework-grading-mcp@latest\"],\r\n \"env\": {\r\n \"MODELSCOPE_API_KEY\": \"your-modelscope-api-key-here\"\r\n }\r\n }\r\n }\r\n}\r\n```\r\n\r\n3. **重启 Claude Desktop**：保存配置后重启应用\r\n\r\n#### 其他 MCP 客户端\r\n\r\n任何支持 MCP 协议的客户端都可以使用，配置方式类似：\r\n\r\n```json\r\n{\r\n \"command\": \"npx\",\r\n \"args\": [\"@pickstar-2002/homework-grading-mcp@latest\"],\r\n \"env\": {\r\n \"MODELSCOPE_API_KEY\": \"your-api-key\"\r\n }\r\n}\r\n```\r\n\r\n### 🎯 使用示例\r\n\r\n#### 方式1：使用图片URL（推荐）\r\n\r\n```json\r\n{\r\n \"tool\": \"grade_homework\",\r\n \"arguments\": {\r\n \"imageUrl\": \"https://example.com/homework.jpg\",\r\n \"subject\": \"数学\",\r\n \"studentName\": \"张三\"\r\n }\r\n}\r\n```\r\n\r\n#### 方式2：使用Base64图片数据\r\n\r\n```json\r\n{\r\n \"tool\": \"grade_homework\",\r\n \"arguments\": {\r\n \"imageData\": \"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQ...\",\r\n \"subject\": \"数学\",\r\n \"studentName\": \"张三\"\r\n }\r\n}\r\n```\r\n\r\n#### 方式3：批量批改作业\r\n\r\n```json\r\n{\r\n \"tool\": \"batch_grade_homework\",\r\n \"arguments\": {\r\n \"submissions\": [\r\n {\r\n \"imageUrl\": \"https://example.com/student1-homework.jpg\",\r\n \"subject\": \"数学\",\r\n \"studentName\": \"张三\"\r\n },\r\n {\r\n \"imageUrl\": \"https://example.com/student2-homework.jpg\",\r\n \"subject\": \"数学\",\r\n \"studentName\": \"李四\"\r\n }\r\n ]\r\n }\r\n}\r\n```\r\n\r\n#### 方式4：指定题目信息（可选）\r\n\r\n```json\r\n{\r\n \"tool\": \"grade_homework\",\r\n \"arguments\": {\r\n \"imageUrl\": \"https://example.com/homework.jpg\",\r\n \"subject\": \"数学\",\r\n \"studentName\": \"张三\",\r\n \"questions\": [\r\n {\r\n \"id\": \"q1\",\r\n \"type\": \"calculation\",\r\n \"content\": \"计算 2 + 3 = ?\",\r\n \"standardAnswer\": \"5\",\r\n \"points\": 5\r\n },\r\n {\r\n \"id\": \"q2\", \r\n \"type\": \"choice\",\r\n \"content\": \"下列哪个是偶数？A. 3 B. 4 C. 5\",\r\n \"standardAnswer\": \"B\",\r\n \"points\": 5\r\n }\r\n ]\r\n }\r\n}\r\n```\r\n\r\n#### 实际使用场景示例\r\n\r\n**场景1：数学老师批改几何作业**\r\n```json\r\n{\r\n \"tool\": \"grade_homework\",\r\n \"arguments\": {\r\n \"imageUrl\": \"https://5b0988e595225.cdn.sohucs.com/images/20180108/86e7ed5ce5154f5e8df5ae422ce61f93.jpeg\",\r\n \"subject\": \"数学\",\r\n \"studentName\": \"王同学\"\r\n }\r\n}\r\n```\r\n\r\n**场景2：语文老师批改作文**\r\n```json\r\n{\r\n \"tool\": \"grade_homework\",\r\n \"arguments\": {\r\n \"imageData\": \"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQ...\",\r\n \"subject\": \"语文\",\r\n \"studentName\": \"李同学\"\r\n }\r\n}\r\n```\r\n\r\n## 📊 返回结果格式\r\n\r\n### 批改结果结构\r\n\r\n```typescript\r\ninterface HomeworkGradingResponse {\r\n submissionId: string; // 提交ID\r\n totalScore: number; // 总得分\r\n maxTotalScore: number; // 满分\r\n grade: 'A' | 'B' | 'C' | 'D' | 'F'; // 等级\r\n results: GradingResult[]; // 每题详细结果\r\n overallFeedback: string; // 总体反馈\r\n gradedAt: string; // 批改时间\r\n}\r\n\r\ninterface GradingResult {\r\n questionId: string; // 题目ID\r\n isCorrect: boolean; // 是否正确\r\n studentAnswer: string; // 学生答案\r\n correctAnswer: string; // 正确答案\r\n explanation: string; // 解析说明\r\n score: number; // 得分\r\n maxScore: number; // 满分\r\n feedback: string; // 反馈意见\r\n}\r\n```\r\n\r\n## 🛠️ 开发指南\r\n\r\n### 📁 项目结构\r\n\r\n```\r\n├── src/\r\n│ ├── config.ts # 配置文件\r\n│ ├── types.ts # TypeScript 类型定义\r\n│ ├── index.ts # 主入口文件\r\n│ ├── services/ # 服务层\r\n│ │ ├── modelService.ts # 模型服务\r\n│ │ └── gradingService.ts # 批改服务\r\n│ ├── tools/ # MCP工具\r\n│ │ └── gradingTools.ts # 批改工具定义\r\n│ └── utils/ # 工具函数\r\n│ ├── logger.ts # 日志工具\r\n│ └── image.ts # 图片处理工具\r\n├── package.json\r\n├── tsconfig.json\r\n└── README.md\r\n```\r\n\r\n### 🏗️ 本地开发\r\n\r\n1. **克隆项目**\r\n ```bash\r\n git clone https://github.com/pickstar-2002/homework-grading-mcp.git\r\n cd homework-grading-mcp\r\n ```\r\n\r\n2. **安装依赖**\r\n ```bash\r\n npm install\r\n ```\r\n\r\n3. **配置环境**\r\n ```bash\r\n cp .env.example .env\r\n # 编辑 .env 文件，填入 API 密钥\r\n ```\r\n\r\n4. **开发运行**\r\n ```bash\r\n npm run dev\r\n ```\r\n\r\n5. **构建项目**\r\n ```bash\r\n npm run build\r\n ```\r\n\r\n### 🧪 测试\r\n\r\n```bash\r\n# 运行测试（如果有）\r\nnpm test\r\n\r\n# 启动开发服务器进行测试\r\nnpm run dev\r\n```\r\n\r\n## 🔧 环境变量\r\n\r\n| 变量名 | 说明 | 默认值 |\r\n|--------|------|--------|\r\n| `MODELSCOPE_API_KEY` | 魔搭社区 API 密钥 | 必填 |\r\n| `MCP_SERVER_NAME` | MCP 服务器名称 | `homework-grading-mcp` |\r\n| `MCP_SERVER_VERSION` | MCP 服务器版本 | `1.0.0` |\r\n| `LOG_LEVEL` | 日志级别 | `info` |\r\n\r\n## 🎨 支持的题型\r\n\r\n- ✅ **选择题** (choice)\r\n- ✅ **填空题** (fill)\r\n- ✅ **计算题** (calculation)\r\n- ✅ **作文题** (essay)\r\n\r\n## 📚 支持的科目\r\n\r\n- 📐 **数学** - 计算题、应用题、几何题等\r\n- 📖 **语文** - 阅读理解、作文、古诗词等\r\n- 🌍 **英语** - 语法、翻译、作文等\r\n- 🧪 **物理** - 计算题、实验题等\r\n- ⚗️ **化学** - 方程式、计算题等\r\n- 🌏 **地理** - 地图题、简答题等\r\n- 🏛️ **历史** - 简答题、材料题等\r\n- 🧬 **生物** - 简答题、实验题等\r\n\r\n## 🤝 贡献指南\r\n\r\n欢迎提交 Issue 和 Pull Request！\r\n\r\n1. Fork 本仓库\r\n2. 创建特性分支 (`git checkout -b feature/amazing-feature`)\r\n3. 提交更改 (`git commit -m 'Add some amazing feature'`)\r\n4. 推送到分支 (`git push origin feature/amazing-feature`)\r\n5. 创建 Pull Request\r\n\r\n## 📝 更新日志\r\n\r\n### v1.0.0 (2025-01-01)\r\n- 🎉 初始版本发布\r\n- ✨ 支持单份作业批改\r\n- 📚 支持批量作业批改\r\n- 🎯 支持多种题型\r\n- 📊 提供详细批改结果\r\n\r\n## 🐛 常见问题\r\n\r\n### Q: 模型连接失败怎么办？\r\nA: 请检查：\r\n1. API 密钥是否正确配置\r\n2. 网络连接是否正常\r\n3. 魔搭社区服务是否可用\r\n\r\n### Q: 支持哪些图片格式？\r\nA: 支持 JPEG、PNG、GIF、BMP、WebP 等常见格式\r\n\r\n### Q: 批改准确率如何？\r\nA: 基于 Qwen3-VL 多模态模型，准确率较高，但建议人工复核重要作业\r\n\r\n### Q: 可以自定义评分标准吗？\r\nA: 目前使用内置评分标准，后续版本将支持自定义评分规则\r\n\r\n## 📄 许可证\r\n\r\n本项目基于 [MIT 许可证](LICENSE) 开源。\r\n\r\n## 👤 作者\r\n\r\n**pickstar-2002**\r\n\r\n- 📧 邮箱: pickstar-2002@example.com\r\n- 🌐 GitHub: [@pickstar-2002](https://github.com/pickstar-2002)\r\n\r\n## 🙏 致谢\r\n\r\n- [Model Context Protocol](https://modelcontextprotocol.io/) - 提供 MCP 协议支持\r\n- [魔搭社区](https://www.modelscope.cn/) - 提供 Qwen3-VL 模型服务\r\n- [OpenAI](https://openai.com/) - 提供 OpenAI SDK\r\n\r\n---\r\n\r\n\r\n\r\n**⭐ 如果这个项目对你有帮助，请给个 Star！**\r\n\r\nMade with ❤️ by pickstar-2002\r\n\r\n
","readmeFilename":"README.md"}