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server for AI image generation, video generation and chat completion with support for multiple AI providers including Tongyi Wanxiang","maintainers":[{"name":"bashcat","email":"bashcat0804@gmail.com"}],"readme":"# AI Image Chat MCP 工具\n\n這是一個通用的 AI 圖片生成和對話完成 Model Context Protocol (MCP) 工具，支持多種 AI 服務提供商。\n\n## 功能特性\n\n- 🖼️ **圖片生成**: 使用 AI 模型生成圖片\n- 💬 **對話完成**: 使用 AI 模型進行智能對話\n- 🚀 **阿里雲 DashScope**: 支援阿里雲 DashScope 高品質文生圖 API\n- 📁 **自動保存**: 生成的圖片會自動下載並保存到指定目錄\n- 📝 **智能命名**: 檔名根據用戶的 prompt 自動生成\n- 🔐 **安全配置**: API 密鑰安全保存在 `.env` 文件中\n- 🎛️ **自定義提示**: 支持自定義系統提示詞，如未提供則使用預設值\n\n## 安裝與設置\n\n### 1. 安裝依賴\n\n```bash\nnpm install\n```\n\n### 2. 配置環境變數\n\n編輯 `.env` 文件，設置你的 API 密鑰：\n\n```env\nAI_API_KEY=your_api_key_here\nAI_API_BASE_URL=https://api.laozhang.ai/v1\nAI_IMAGE_SAVE_PATH=/path/to/your/images/directory\nALI_API_KEY=your_ali_api_key_here\n# 或者使用\nDASHSCOPE_API_KEY=your_dashscope_api_key_here\n```\n\n**環境變數說明：**\n\n- `AI_API_KEY`: 您的 AI API 密鑰（必須）\n- `AI_API_BASE_URL`: API 基礎 URL（可選，預設為 `https://api.laozhang.ai/v1`）\n- `AI_IMAGE_SAVE_PATH`: 圖片保存路徑（可選，預設為 `~/generated_images`）\n- `ALI_API_KEY`: 阿里雲 DashScope API 密鑰（使用阿里雲功能時必須）\n- `DASHSCOPE_API_KEY`: 阿里雲 DashScope API 密鑰的別名（與 ALI_API_KEY 二選一）\n\n**支持的 API 服務商：**\n\n- 老張 AI: `https://api.laozhang.ai/v1`\n- 阿里雲 DashScope: `https://dashscope.aliyuncs.com/api/v1`\n- OpenAI: `https://api.openai.com/v1`\n- 其他 OpenAI 兼容的 API 服務\n\n### 3. 編譯項目\n\n```bash\nnpm run build\n```\n\n### 4. 啟動服務\n\n```bash\nnpm start\n```\n\n## MCP (Model Context Protocol) 設置\n\n### 在 Claude Desktop 中使用\n\n編輯您的 Claude Desktop 配置文件 (`~/Library/Application Support/Claude/claude_desktop_config.json`)：\n\n```json\n{\n  \"mcpServers\": {\n    \"ai-image-chat-mcp\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@bashcat/ai-image-chat-mcp\"],\n      \"env\": {\n        \"AI_API_KEY\": \"your_api_key_here\",\n        \"AI_API_BASE_URL\": \"https://api.laozhang.ai/v1\",\n        \"AI_IMAGE_SAVE_PATH\": \"~/Pictures/AI_Generated_Images\",\n        \"ALI_API_KEY\": \"your_ali_api_key_here\"\n      }\n    }\n  }\n}\n```\n\n### 在 VS Code 中使用\n\n編輯您的 VS Code 設置 (`settings.json`)：\n\n```json\n{\n  \"mcp\": {\n    \"servers\": {\n      \"ai-image-chat-mcp\": {\n        \"command\": \"npx\",\n        \"args\": [\"-y\", \"@bashcat/ai-image-chat-mcp\"],\n        \"env\": {\n          \"AI_API_KEY\": \"your_api_key_here\",\n          \"AI_API_BASE_URL\": \"https://api.laozhang.ai/v1\",\n          \"AI_IMAGE_SAVE_PATH\": \"~/Pictures/AI_Generated_Images\",\n          \"ALI_API_KEY\": \"your_ali_api_key_here\"\n        }\n      }\n    }\n  }\n}\n```\n\n### 環境變數配置\n\n| 環境變數             | 必需 | 預設值                       | 說明                   |\n| -------------------- | ---- | ---------------------------- | ---------------------- |\n| `AI_API_KEY`         | ✅   | -                            | 您的 AI API 密鑰       |\n| `AI_API_BASE_URL`    | ❌   | `https://api.laozhang.ai/v1` | API 基礎 URL           |\n| `AI_IMAGE_SAVE_PATH` | ❌   | `~/generated_images`         | 圖片保存路徑           |\n| `ALI_API_KEY`        | ❌   | -                            | 阿里雲 DashScope 密鑰  |\n| `DASHSCOPE_API_KEY`  | ❌   | -                            | 阿里雲密鑰的別名       |\n\n### 圖片保存功能\n\n- 🖼️ **自動保存**: 生成的圖片會自動保存到指定目錄\n- 📁 **動態路徑**: 通過 `AI_IMAGE_SAVE_PATH` 環境變數自定義保存路徑\n- 📝 **智能命名**: 檔名根據 prompt 自動生成，例如：`台灣男性工程師-2025-09-21T07-15-30-123Z.jpg`\n- 📂 **目錄創建**: 如果指定目錄不存在，會自動創建\n- 🔄 **格式轉換**: 支援 base64 圖片解碼和格式轉換\n- 🎨 **多格式支援**: 支援 JPG、PNG、WebP 輸出格式\n- 🏠 **友好顯示**: 路徑顯示使用 `~` 代替 home 目錄，更簡潔易讀\n\n#### 圖片保存路徑設定範例：\n\n```bash\n# 預設保存到使用者主目錄\nexport AI_IMAGE_SAVE_PATH=\"~/generated_images\"\n\n# 自定義絕對路徑\nexport AI_IMAGE_SAVE_PATH=\"/Users/username/Pictures/AI_Images\"\n\n# 相對於專案的路徑\nexport AI_IMAGE_SAVE_PATH=\"./images\"\n```\n\n## 可用工具\n\n### 1. generate_image\n\n使用老張 AI 生成圖片的工具。\n\n**參數:**\n\n- `prompt` (必需): 圖片生成的提示詞\n- `system_prompt` (可選): 系統提示詞，預設為 \"You are a helpful assistant that generates images.\"\n- `model` (可選): 模型名稱，可選 \"gpt-image-1\" 或 \"gpt-4o-image\"，預設為 \"gpt-4o-image\"\n- `output_format` (可選): 輸出圖片格式，可選 \"jpg\"、\"jpeg\"、\"png\"、\"webp\"，預設為 \"jpg\"\n\n**範例:**\n\n```json\n{\n  \"prompt\": \"生成一張卡通風格的熊貓宇航員圖片，背景是星空\",\n  \"system_prompt\": \"You are a creative image generator.\",\n  \"model\": \"gpt-4o-image\",\n  \"output_format\": \"png\"\n}\n```\n\n或使用新的 Gemini 模型（v2.3.4+ 支援 base64 圖片自動保存）：\n\n```json\n{\n  \"prompt\": \"賽博朋克風格的未來城市夜景\",\n  \"model\": \"gemini-2.5-flash-image-preview\",\n  \"aspect_ratio\": \"16:9\",\n  \"n\": 2\n}\n```\n\n**⭐ Gemini 模型特色功能**：\n- 支援 base64 格式圖片自動保存到本地檔案\n- 高速生成，品質優秀\n- 支援多種輸出格式（jpg, png, webp）\n\n### 2. tongyi_wanxiang_generate_image (推薦)\n\n使用通義萬相文生圖完整生圖流程。\n\n**參數:**\n\n- `prompt` (必需): 正向提示詞\n- `model` (可選): 模型選擇，可選值：\n  - `wanx2.1-t2i-turbo`: 速度快 (0.14元/張)\n  - `wanx2.1-t2i-plus`: 品質高 (0.20元/張)  \n  - `wanx2.0-t2i-turbo`: 性價比高，擅長人像 (0.04元/張)\n- `negative_prompt` (可選): 反向提示詞，預設為 \"人物\"\n- `size` (可選): 圖像分辨率，預設為 \"1024*1024\"\n- `n` (可選): 生成圖片數量 (1-4)，預設為 1\n- `seed` (可選): 隨機數種子\n- `prompt_extend` (可選): 是否開啟智能改寫，預設為 true\n- `watermark` (可選): 是否添加水印，預設為 false\n- `output_format` (可選): 輸出格式，預設為 \"jpg\"\n- `max_wait_minutes` (可選): 最大等待時間（分鐘），預設為 5\n\n**範例:**\n\n```json\n{\n  \"prompt\": \"一隻可愛的橘貓坐在櫻花樹下，春天的陽光灑在它身上\",\n  \"model\": \"wanx2.1-t2i-plus\",\n  \"size\": \"1024*1024\",\n  \"output_format\": \"png\"\n}\n```\n\n### 3. tongyi_wanxiang_create_task\n\n創建通義萬相文生圖任務。\n\n### 4. tongyi_wanxiang_query_task\n\n查詢通義萬相文生圖任務結果。\n\n### 5. chat_completion\n\n進行對話的工具。\n\n**參數:**\n\n- `message` (必需): 用戶訊息\n- `system_prompt` (可選): 系統提示詞，預設為 \"You are a helpful assistant.\"\n- `model` (可選): 模型名稱，預設為 \"gpt-4\"\n\n**範例:**\n\n```json\n{\n  \"message\": \"請幫我寫一首關於春天的詩\",\n  \"system_prompt\": \"You are a professional poet.\",\n  \"model\": \"gpt-4\"\n}\n```\n\n## API 參考\n\n本工具使用老張 AI 的聊天完成 API：\n\n```\nPOST https://api.laozhang.ai/v1/chat/completions\n```\n\n**請求格式:**\n\n```json\n{\n  \"model\": \"gpt-image-1\",\n  \"messages\": [\n    { \"role\": \"system\", \"content\": \"系統提示詞\" },\n    { \"role\": \"user\", \"content\": \"用戶訊息\" }\n  ]\n}\n```\n\n## 開發\n\n### 開發模式\n\n```bash\nnpm run dev\n```\n\n這會啟動 TypeScript 編譯器的監聽模式，當你修改代碼時會自動重新編譯。\n\n### 項目結構\n\n```text\nlaozhang_mcp/\n├── src/\n│   └── index.ts          # 主要服務器代碼\n├── dist/                 # 編譯後的輸出\n├── .env                  # 環境變數配置\n├── package.json          # 項目配置\n├── tsconfig.json         # TypeScript 配置\n└── README.md            # 說明文檔\n```\n\n## 通義萬相文生圖集成\n\n本工具支援阿里雲通義萬相文生圖V2版本的三種模型。詳細說明請參考：\n- [通義萬相使用指南](./TONGYI_WANXIANG_GUIDE.md) - 新版詳細指南\n- [DASHSCOPE_INTEGRATION.md](./DASHSCOPE_INTEGRATION.md) - 原版集成說明\n\n### 模型對比\n\n| 模型 | 特點 | 價格 | 適用場景 |\n|------|------|------|----------|\n| wanx2.1-t2i-turbo | 速度快 | 0.14元/張 | 快速生成 |\n| wanx2.1-t2i-plus | 品質高 | 0.20元/張 | 精細作品 |\n| wanx2.0-t2i-turbo | 性價比高 | 0.04元/張 | 人像專長 |\n\n### 快速開始\n\n1. 在 [阿里雲百炼平台](https://dashscope.aliyuncs.com/) 獲取 API Key\n2. 設置環境變數 `ALI_API_KEY`\n3. 使用 `tongyi_wanxiang_generate_image` 工具生成圖片\n\n## 注意事項\n\n1. 請確保你有有效的 AI API 密鑰\n2. 使用阿里雲功能需要設置 `ALI_API_KEY` 或 `DASHSCOPE_API_KEY`\n3. 不要將 `.env` 文件提交到版本控制系統\n4. 圖片生成可能需要較長時間，請耐心等待\n5. API 有使用限制，請適度使用\n\n## 許可證\n\nMIT License\n","readmeFilename":"README.md"}