[{"_1":2,"_313":-5,"_314":-5},"loaderData",{"_3":4,"_22":23,"_24":25,"_249":250},"root",{"_5":6,"_7":8},"toasts",[],"visitor",{"_9":10,"_11":12},"viewportWidth",1280,"visitorSession",{"_13":14,"_16":17,"_18":-5,"_19":20,"_21":-5},"attributes",[15],"BOT","id",7058884,"membership","referenceId","01971406-43e3-74e8-b880-2f000258007a","userAccount","routes/_public/_layout",{},"routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_26":27,"_28":-5,"_29":30,"_31":42,"_167":168,"_248":104},"availableLocales",[],"githubUser","locale",{"_31":32,"_35":39,"_40":41},"mcpServer",{"_33":34,"_35":36,"_37":38},"description","An MCP-based service that enables AI models to seamlessly interact with Feishu (Lark) platform, supporting document reading and chatbot messaging capabilities.","name","Feishu MCP Server","readme","# 飞书MCP服务器\n\n[![TypeScript](https://img.shields.io/badge/TypeScript-5.8-blue.svg)](https://www.typescriptlang.org/)\n[![Node.js](https://img.shields.io/badge/Node.js->=23-green.svg)](https://nodejs.org/)\n[![License](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)\n\n飞书MCP服务器是一个基于[Model Context Protocol](https://modelcontextprotocol.ai/)的服务，提供飞书API集成，使AI模型能够轻松与飞书服务交互。\n\n## 目录\n\n- [功能特点](#功能特点)\n- [项目架构](#项目架构)\n - [代码结构](#代码结构)\n - [设计原则](#设计原则)\n - [工作流程](#工作流程)\n- [快速开始](#快速开始)\n - [前提条件](#前提条件)\n - [安装步骤](#安装步骤)\n - [运行服务](#运行服务)\n- [配置说明](#配置说明)\n- [API文档](#api文档)\n - [文档操作](#文档操作)\n - [机器人操作](#机器人操作)\n - [聊天操作](#聊天操作)\n - [多维表格操作](#多维表格操作)\n- [开发指南](#开发指南)\n - [代码规范](#代码规范)\n - [错误处理](#错误处理)\n - [提交规范](#提交规范)\n - [扩展指南](#扩展指南)\n- [常见问题](#常见问题)\n- [许可证](#许可证)\n- [贡献指南](#贡献指南)\n\n## 功能特点\n\n- **文档服务**：读取飞书文档内容和元数据\n- **机器人服务**：发送文本消息和交互卡片到飞书聊天\n- **聊天服务**：管理群组和聊天会话\n- **多模式支持**：\n - **STDIO模式**：通过标准输入/输出通信，适用于CLI环境和集成到其他应用\n - **HTTP模式**：提供REST API和SSE连接，适用于Web服务和分布式部署\n- **完善的错误处理**：统一的错误处理机制，提供详细的错误信息\n- **类型安全**：基于TypeScript，提供完整的类型定义\n- **模块化架构**：易于扩展新功能和集成其他飞书API\n\n## 项目架构\n\n### 代码结构\n\n```\n/src\n /client # API客户端实现（底层API请求封装）\n /documents # 文档相关API客户端\n /bots # 机器人API客户端\n /chats # 聊天相关API客户端\n /services # 服务层实现（业务逻辑和错误处理）\n /documents # 文档相关服务\n /bots # 机器人相关服务\n /chats # 聊天相关服务\n /server # MCP服务器实现\n /tools # MCP工具注册和实现\n /typings # 类型定义\n /utils # 通用工具函数\n /http # HTTP服务器实现\n /logger # 日志服务\n /consts # 常量定义\n config.ts # 配置管理\n index.ts # 入口点\n```\n\n### 设计原则\n\n项目采用分层架构设计，确保关注点分离和职责明确：\n\n#### 1. 分层职责\n\n- **客户端层（Client）**\n - 封装HTTP请求的细节\n - 处理底层API参数和响应格式\n - 管理认证和令牌刷新\n - 不包含业务逻辑\n\n- **服务层（Service）**\n - 使用客户端执行API操作\n - 实现业务逻辑\n - 处理和转换错误\n - 提供友好的接口给上层使用\n\n- **工具层（Tools）**\n - 实现MCP协议定义的工具\n - 处理参数验证和格式转换\n - 调用服务层完成实际操作\n - 格式化返回结果\n\n#### 2. 依赖方向\n\n- 服务层依赖客户端层\n- 工具层依赖服务层\n- 严格避免循环依赖\n\n#### 3. 错误处理策略\n\n- 使用 `FeiShuApiError` 统一处理API错误\n- 客户端层返回原始错误\n- 服务层捕获并转换为业务相关错误\n- 工具层处理所有异常并返回用户友好消息\n\n### 工作流程\n\n1. MCP服务器接收请求（STDIO或HTTP）\n2. 工具层验证参数并调用相应服务\n3. 服务层实现业务逻辑并调用客户端\n4. 客户端执行实际API请求并返回结果\n5. 结果经由服务层处理后返回给工具层\n6. 工具层格式化结果并返回给MCP服务器\n\n## 快速开始\n\n### 前提条件\n\n- Node.js 23.0或更高版本\n- pnpm包管理器\n- 有效的飞书开发者账号和已创建的自建应用\n\n### 安装步骤\n\n1. 克隆仓库\n\n```bash\ngit clone https://github.com/yourusername/feishu-mcp-server.git\ncd feishu-mcp-server\n```\n\n2. 安装依赖\n\n```bash\npnpm install\n```\n\n3. 创建`.env`文件\n\n```\n# 飞书应用凭证（必填）\nFEISHU_APP_ID=your_app_id\nFEISHU_APP_SECRET=your_app_secret\n\n# 服务器配置（可选）\nPORT=3344\nLOG_LEVEL=info\n```\n\n### 运行服务\n\n#### 开发模式\n\n```bash\n# 开发模式（自动重启）\npnpm dev\n\n# 或使用普通启动\npnpm start\n```\n\n#### 生产模式\n\n```bash\n# 构建项目\npnpm build\n\n# 运行编译后的代码\nnode dist/index.js\n```\n\n#### STDIO模式\n\n```bash\n# 方法1：使用环境变量\nNODE_ENV=cli node dist/index.js\n\n# 方法2：使用命令行参数\nnode dist/index.js --stdio\n```\n\n## 配置说明\n\n| 选项 | 环境变量 | 命令行参数 | 默认值 | 描述 |\n|------|----------|------------|--------|------|\n| 飞书应用ID | `FEISHU_APP_ID` | `--feishu-app-id` | - | 飞书自建应用的App ID |\n| 飞书应用密钥 | `FEISHU_APP_SECRET` | `--feishu-app-secret` | - | 飞书自建应用的App Secret |\n| 服务器端口 | `PORT` | `--port` | 3344 | HTTP服务器端口号 |\n| 日志级别 | `LOG_LEVEL` | `--log-level` | info | 日志级别(debug/info/warn/error) |\n| 令牌缓存时间 | `TOKEN_CACHE_DURATION` | - | 7100 | 访问令牌缓存时间(秒) |\n\n## API文档\n\n### 文档操作\n\n#### `get_feishu_doc_raw`\n\n获取飞书文档的原始内容。\n\n参数：\n- `docId` - 文档ID，通常在URL中找到 (例如：feishu.cn/docx/)\n\n返回：\n- 文档的文本内容\n\n#### `get_feishu_doc_info`\n\n获取飞书文档的元数据信息。\n\n参数：\n- `docId` - 文档ID\n\n返回：\n- 文档的元数据（JSON格式）\n\n### 机器人操作\n\n#### `send_feishu_text_message`\n\n发送文本消息到飞书聊天。\n\n参数：\n- `chatId` - 聊天ID\n- `text` - 要发送的文本内容\n\n返回：\n- 发送状态和消息ID\n\n#### `send_feishu_card`\n\n发送交互卡片到飞书聊天。\n\n参数：\n- `chatId` - 聊天ID\n- `cardContent` - 卡片内容（JSON字符串）\n\n返回：\n- 发送状态和消息ID\n\n### 聊天操作\n\n#### `get_feishu_chat_info`\n\n获取飞书聊天的基本信息。\n\n参数：\n- `chatId` - 聊天ID\n\n返回：\n- 聊天的基本信息（JSON格式）\n\n### 多维表格操作\n\n#### `get_feishu_sheet_meta`\n\n获取飞书多维表格的元数据信息。\n\n参数：\n- `appToken` - 多维表格ID，通常在URL中找到 (例如：feishu.cn/base/ 或 feishu.cn/app/)\n\n返回：\n- 多维表格的元数据（JSON格式），包含表格ID、名称、修订版本、创建者、创建时间、权限等信息\n\n#### `get_feishu_sheet_tables`\n\n获取飞书多维表格中的数据表列表。\n\n参数：\n- `appToken` - 多维表格ID，通常在URL中找到 (例如：feishu.cn/base/ 或 feishu.cn/app/)\n- `pageSize` - 每页返回的数据表数量，可选，默认为20，最大为100\n- `pageToken` - 分页标记，可选，用于获取下一页数据\n\n返回：\n- 数据表列表（JSON格式），包含表ID、名称、字段信息等\n\n#### `get_feishu_sheet_views`\n\n获取飞书多维表格中数据表的视图列表。\n\n参数：\n- `appToken` - 多维表格ID，通常在URL中找到 (例如：feishu.cn/base/ 或 feishu.cn/app/)\n- `tableId` - 数据表ID\n- `pageSize` - 每页返回的视图数量，可选，默认为20，最大为100\n- `pageToken` - 分页标记，可选，用于获取下一页数据\n\n返回：\n- 视图列表（JSON格式），包含视图ID、名称、类型和属性等信息\n\n#### `get_feishu_sheet_view`\n\n获取飞书多维表格中数据表特定视图的详细信息。\n\n参数：\n- `appToken` - 多维表格ID，通常在URL中找到 (例如：feishu.cn/base/ 或 feishu.cn/app/)\n- `tableId` - 数据表ID\n- `viewId` - 视图ID，要获取详细信息的视图\n\n返回：\n- 视图详情（JSON格式），包含视图ID、名称、类型和属性等信息\n\n#### `get_feishu_sheet_records`\n\n获取飞书多维表格中的数据表记录。\n\n参数：\n- `appToken` - 多维表格ID，通常在URL中找到 (例如：feishu.cn/base/ 或 feishu.cn/app/)\n- `tableId` - 数据表ID\n- `viewId` - 视图ID，可选，不指定时使用默认视图\n- `fieldIds` - 字段ID列表，可选，指定返回哪些字段\n- `filter` - 过滤条件，可选，使用FQL格式\n- `sort` - 排序条件，可选，使用JSON格式\n- `pageSize` - 每页返回的记录数量，可选，默认为20，最大为100\n- `pageToken` - 分页标记，可选，用于获取下一页数据\n\n返回：\n- 记录列表（JSON格式），包含记录ID和字段值\n\n#### `get_feishu_sheet_record`\n\n获取飞书多维表格中的单条记录。\n\n参数：\n- `appToken` - 多维表格ID，通常在URL中找到 (例如：feishu.cn/base/ 或 feishu.cn/app/)\n- `tableId` - 数据表ID\n- `recordId` - 记录ID\n- `fieldIds` - 字段ID列表，可选，指定返回哪些字段\n\n返回：\n- 单条记录（JSON格式），包含记录ID和字段值\n\n## 开发指南\n\n### 代码规范\n\n项目使用严格的TypeScript规范和ESLint配置：\n\n- 使用TypeScript接口和类型定义\n- 避免使用 `any` 类型\n- 使用 `Record` 替代 `object` 类型\n- 所有代码文件、注释和错误消息使用英文\n\n运行代码检查：\n\n```bash\n# 运行代码检查\npnpm lint\n\n# 运行代码检查并修复\npnpm lint:fix\n\n# 运行代码格式化\npnpm format\n```\n\n### 错误处理\n\n所有与飞书API相关的错误应使用 `FeiShuApiError` 类处理：\n\n```typescript\ntry {\n // API操作\n} catch (error) {\n if (error instanceof FeiShuApiError) {\n // 处理特定的API错误\n logger.error(`FeiShu API Error (${error.code}): ${error.message}`);\n } else {\n // 处理通用错误\n logger.error('Unexpected error:', error);\n }\n // 转换为用户友好消息\n throw new FeiShuApiError('操作失败', { cause: error });\n}\n```\n\n### 提交规范\n\n提交消息必须遵循以下格式：\n```\n(): \n```\n\n例如：\n- `feat(bot): 添加发送卡片功能`\n- `fix(documents): 修复文档内容获取错误`\n\n支持的类型：\n- `feat`: 新功能\n- `fix`: 修复Bug\n- `docs`: 文档变更\n- `style`: 代码格式调整\n- `refactor`: 代码重构\n- `perf`: 性能优化\n- `test`: 测试相关\n- `chore`: 构建过程或辅助工具的变动\n\n### 扩展指南\n\n添加新功能的步骤：\n\n1. **创建客户端类**\n - 在 `src/client//` 目录下创建\n - 继承 `ApiClient` 基类\n - 实现API请求方法\n\n ```typescript\n // src/client/feature/feature-client.ts\n export class FeatureClient extends ApiClient {\n async getFeatureData(id: string): Promise {\n return this.request('/feature/get', { id });\n }\n }\n ```\n\n2. **创建服务类**\n - 在 `src/services//` 目录下创建\n - 使用相应的客户端类\n - 实现业务逻辑和错误处理\n\n ```typescript\n // src/services/feature/feature-service.ts\n export class FeatureService {\n private client: FeatureClient;\n \n constructor(config: ApiClientConfig) {\n this.client = new FeatureClient(config);\n }\n \n async getFeature(id: string): Promise {\n try {\n const data = await this.client.getFeatureData(id);\n return this.transformData(data);\n } catch (error) {\n handleError(error);\n }\n }\n }\n ```\n\n3. **注册服务**\n - 在 `src/services/index.ts` 中导出新服务\n - 将服务添加到 `FeiShuServices` 类\n\n4. **创建MCP工具**\n - 在 `src/server/tools/feature-tools.ts` 中创建\n - 使用Zod进行参数验证\n - 调用服务层方法\n\n ```typescript\n // src/server/tools/feature-tools.ts\n export function registerFeatureTools(params: ToolRegistryParams): void {\n const { server, services, logger } = params;\n \n server.tool(\n 'get_feishu_feature',\n 'Get feature from FeiShu',\n {\n id: z.string().describe('Feature ID'),\n },\n async ({ id }) => {\n try {\n const feature = await services.feature.getFeature(id);\n return { content: [{ type: 'text', text: JSON.stringify(feature) }] };\n } catch (error) {\n return handleToolError(error, logger);\n }\n }\n );\n }\n ```\n\n5. **注册工具**\n - 在 `src/server/tools/index.ts` 中引入并注册新工具\n\n## 常见问题\n\n### 认证失败\n\n**问题**：API请求返回认证错误\n\n**解决方案**：\n- 检查应用ID和密钥是否正确\n- 确认应用具有所需的权限范围\n- 检查服务器时间是否正确同步\n\n### 令牌刷新问题\n\n**问题**：令牌刷新失败\n\n**解决方案**：\n- 设置更短的令牌缓存时间\n- 检查网络连接稳定性\n- 查看飞书开发者平台的应用状态\n\n## 许可证\n\nMIT\n\n## 贡献指南\n\n欢迎贡献！请遵循以下步骤：\n\n1. Fork仓库\n2. 创建功能分支（`git checkout -b feature/amazing-feature`）\n3. 提交更改（`git commit -m 'feat: add some amazing feature'`）\n4. 推送到分支（`git push origin feature/amazing-feature`）\n5. 开启Pull Request\n\n提交PR前请确保：\n- 代码通过所有测试\n- 更新了相关文档\n- 遵循项目的代码风格和命名约定\n- 添加必要的单元测试","English","tag","en-US",{"_43":44,"_45":46,"_13":65,"_72":34,"_73":34,"_74":75,"_78":79,"_101":-5,"_16":102,"_103":104,"_105":106,"_35":36,"_143":92,"_144":145,"_148":-5,"_149":-5,"_150":-5,"_151":152,"_157":-5,"_113":88,"_158":159,"_163":-5,"_93":164,"_165":166},"addedAt","2025-03-26T07:01:22.997997778Z","argumentsJsonSchema",{"_47":48,"_62":63,"_54":64},"properties",{"_49":50,"_56":57,"_59":60},"PORT",{"_51":52,"_33":53,"_54":55},"default","3344","HTTP服务器端口号","type","string","FEISHU_APP_ID",{"_33":58,"_54":55},"飞书自建应用的App ID","FEISHU_APP_SECRET",{"_33":61,"_54":55},"飞书自建应用的App 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