├── .github └── workflows │ └── npm-publish.yml ├── .gitignore ├── LICENSE ├── README.md ├── README.zh-CN.md ├── assets └── minimax-mcp-tools-banner.jpg ├── index.js ├── minimax-api.js ├── minimax-tts-api.js ├── package-lock.json └── package.json /.github/workflows/npm-publish.yml: -------------------------------------------------------------------------------- 1 | # This workflow will run tests using node and then publish a package to GitHub Packages when a release is created 2 | # For more information see: https://docs.github.com/en/actions/publishing-packages/publishing-nodejs-packages 3 | 4 | name: Node.js Package 5 | 6 | on: 7 | release: 8 | types: [created] 9 | 10 | jobs: 11 | publish-npm: 12 | runs-on: ubuntu-latest 13 | steps: 14 | - uses: actions/checkout@v4 15 | - uses: actions/setup-node@v4 16 | with: 17 | node-version: 20 18 | registry-url: https://registry.npmjs.org/ 19 | - run: npm ci 20 | - run: npm publish 21 | env: 22 | NODE_AUTH_TOKEN: ${{secrets.npm_token}} 23 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Dependency directories 2 | node_modules/ 3 | npm-debug.log 4 | yarn-debug.log 5 | yarn-error.log 6 | 7 | # Environment variables 8 | .env 9 | .env.local 10 | .env.development.local 11 | .env.test.local 12 | .env.production.local 13 | 14 | # Generated files 15 | generated-images/ 16 | generated-audio/ 17 | 18 | # Build output 19 | dist/ 20 | build/ 21 | 22 | # IDE and editor files 23 | .idea/ 24 | .vscode/ 25 | *.swp 26 | *.swo 27 | .DS_Store 28 | 29 | # Logs 30 | logs 31 | *.log 32 | npm-debug.log* 33 | yarn-debug.log* 34 | yarn-error.log* 35 | 36 | # Coverage directory used by tools like istanbul 37 | coverage/ 38 | 39 | # nyc test coverage 40 | .nyc_output/ 41 | 42 | # Optional npm cache directory 43 | .npm 44 | 45 | # Optional eslint cache 46 | .eslintcache 47 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2025 PsychArch 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Minimax MCP Tools 2 | 3 | ![Minimax MCP Tools Banner](assets/minimax-mcp-tools-banner.jpg) 4 | 5 | A Model Context Protocol (MCP) server implementation with Minimax API integration for AI-powered image generation and text-to-speech functionality. 6 | 7 | English | [简体中文](README.zh-CN.md) 8 | 9 | ## Features 10 | 11 | - **Image Generation**: Generate high-quality images based on text prompts using Minimax's image-01 model 12 | - **Text-to-Speech (TTS)**: Convert text to natural-sounding speech with various voice options, emotions, and audio formats 13 | 14 | ## Setup 15 | 16 | ### Prerequisites 17 | 18 | - Node.js 16 or higher 19 | - A Minimax API key (obtain from [Minimax Platform](https://api.minimax.chat/)) 20 | - Minimax Group ID for TTS functionality 21 | 22 | ### Configuration 23 | 24 | Create or update your MCP configuration file: 25 | 26 | ```json 27 | { 28 | "mcpServers": { 29 | "minimax-mcp-tools": { 30 | "command": "npx", 31 | "args": [ 32 | "minimax-mcp-tools" 33 | ], 34 | "env": { 35 | "MINIMAX_API_KEY": "your-minimax-api-key", 36 | "MINIMAX_GROUP_ID": "your-minimax-group-id" 37 | } 38 | } 39 | } 40 | } 41 | ``` 42 | 43 | ## MCP Interface 44 | 45 | ### Image Generation 46 | 47 | Generate images based on text prompts: 48 | 49 | ```javascript 50 | // Example parameters for image generation 51 | { 52 | "prompt": "A mountain landscape at sunset", 53 | "aspectRatio": "16:9", 54 | "n": 1, 55 | "outputFile": "/absolute/path/to/image.jpg", 56 | "subjectReference": "/path/to/reference.jpg" // Optional: local file or URL 57 | } 58 | ``` 59 | 60 | Parameters: 61 | - `prompt` (required): Description of the image to generate 62 | - `outputFile` (required): Absolute path to save the generated image file. **The directory must already exist**. When generating multiple images (n>1), files will be named with sequential numbers (e.g., 'image-1.jpg', 'image-2.jpg'). 63 | - `aspectRatio` (optional): Aspect ratio of the image (default: "1:1", options: "1:1", "16:9", "4:3", "3:2", "2:3", "3:4", "9:16", "21:9") 64 | - `n` (optional): Number of images to generate (default: 1, range: 1-9). When n>1, the output filenames will be automatically numbered. 65 | - `subjectReference` (optional): Path to a local image file or a public URL for character reference. When provided, the generated image will use this as a reference for character appearance. Supported formats: JPG, JPEG, PNG 66 | 67 | ### Text-to-Speech 68 | 69 | Convert text to speech with various customization options: 70 | 71 | ```javascript 72 | // Example parameters for text-to-speech 73 | { 74 | "text": "Hello, this is a test of the text-to-speech functionality.", 75 | "model": "speech-02-hd", 76 | "voiceId": "female-shaonv", 77 | "speed": 1.0, 78 | "volume": 1.0, 79 | "pitch": 0, 80 | "emotion": "happy", 81 | "format": "mp3", 82 | "outputFile": "/absolute/path/to/audio.mp3", 83 | "subtitleEnable": true 84 | } 85 | ``` 86 | 87 | #### Basic Parameters: 88 | - `text` (required): Text to convert to speech (max 10,000 characters) 89 | - `outputFile` (required): Absolute path to save the generated audio file 90 | - `model` (optional): Model version to use (default: "speech-02-hd", options: "speech-02-hd", "speech-02-turbo") 91 | - `speech-02-hd`: High-definition model with excellent timbre similarity, rhythm stability, and studio-grade audio quality 92 | - `speech-02-turbo`: Fast model with excellent performance and low latency, enhanced multilingual capabilities 93 | - `voiceId` (optional): Voice ID to use (default: "male-qn-qingse") 94 | - `speed` (optional): Speech speed (default: 1.0, range: 0.5-2.0) 95 | - `volume` (optional): Speech volume (default: 1.0, range: 0.1-10.0) 96 | - `pitch` (optional): Speech pitch (default: 0, range: -12 to 12) 97 | - `emotion` (optional): Emotion of the speech (default: "neutral", options: "happy", "sad", "angry", "fearful", "disgusted", "surprised", "neutral") 98 | - `timberWeights` (optional): Voice mixing settings, allows mixing up to 4 different voices with weights 99 | ```javascript 100 | "timberWeights": [ 101 | { "voice_id": "male-qn-qingse", "weight": 70 }, 102 | { "voice_id": "female-shaonv", "weight": 30 } 103 | ] 104 | ``` 105 | 106 | #### Audio Settings: 107 | - `format` (optional): Audio format (default: "mp3", options: "mp3", "pcm", "flac", "wav") 108 | - `sampleRate` (optional): Sample rate in Hz (default: 32000, options: 8000, 16000, 22050, 24000, 32000, 44100) 109 | - `bitrate` (optional): Bitrate for MP3 format (default: 128000, options: 32000, 64000, 128000, 256000) 110 | - `channel` (optional): Number of audio channels (default: 1, options: 1=mono, 2=stereo) 111 | 112 | #### Advanced Features: 113 | - `latexRead` (optional): Whether to read LaTeX formulas (default: false) 114 | - `pronunciationDict` (optional): List of pronunciation replacements 115 | ```javascript 116 | "pronunciationDict": ["处理/(chu3)(li3)", "危险/dangerous"] 117 | ``` 118 | - `stream` (optional): Whether to use streaming mode (default: false) 119 | - `languageBoost` (optional): Enhance recognition of specific languages 120 | - Options: "Chinese", "Chinese,Yue", "English", "Arabic", "Russian", "Spanish", "French", "Portuguese", "German", "Turkish", "Dutch", "Ukrainian", "Vietnamese", "Indonesian", "Japanese", "Italian", "Korean", "Thai", "Polish", "Romanian", "Greek", "Czech", "Finnish", "Hindi", "auto" 121 | - `subtitleEnable` (optional): Whether to enable subtitle generation (default: false) 122 | 123 | ## License 124 | 125 | MIT 126 | 127 | ## Contributing 128 | 129 | Contributions are welcome! Please feel free to submit a Pull Request. 130 | 131 | ## Acknowledgements 132 | 133 | - [Minimax API](https://platform.minimaxi.com/) for providing the AI models 134 | - [Model Context Protocol](https://github.com/modelcontextprotocol/) for the MCP specification 135 | -------------------------------------------------------------------------------- /README.zh-CN.md: -------------------------------------------------------------------------------- 1 | # Minimax MCP 工具 2 | 3 | ![Minimax MCP Tools Banner](assets/minimax-mcp-tools-banner.jpg) 4 | 5 | 一个集成了Minimax API的模型上下文协议(MCP)服务器实现，提供AI驱动的图像生成和文本转语音功能。 6 | 7 | [English](README.md) | 简体中文 8 | 9 | ## 功能特点 10 | 11 | - **图像生成**：使用Minimax的image-01模型，根据文本提示生成高质量图像 12 | - **文本转语音(TTS)**：将文本转换为自然流畅的语音，支持多种声音选项、情感和音频格式 13 | 14 | ## 设置 15 | 16 | ### 前提条件 17 | 18 | - Node.js 16或更高版本 19 | - Minimax API密钥（从[Minimax平台](https://api.minimax.chat/)获取） 20 | - 用于TTS功能的Minimax Group ID 21 | 22 | ### 配置 23 | 24 | 创建或更新您的MCP配置文件： 25 | 26 | ```json 27 | { 28 | "mcpServers": { 29 | "minimax-mcp-tools": { 30 | "command": "npx", 31 | "args": [ 32 | "minimax-mcp-tools" 33 | ], 34 | "env": { 35 | "MINIMAX_API_KEY": "your-minimax-api-key", 36 | "MINIMAX_GROUP_ID": "your-minimax-group-id" 37 | } 38 | } 39 | } 40 | } 41 | ``` 42 | 43 | ## MCP接口 44 | 45 | ### 图像生成 46 | 47 | 根据文本提示生成图像： 48 | 49 | ```javascript 50 | // 图像生成参数示例 51 | { 52 | "prompt": "日落时分的山景", 53 | "aspectRatio": "16:9", 54 | "n": 1, 55 | "outputFile": "/absolute/path/to/image.jpg", 56 | "subjectReference": "/path/to/reference.jpg" // 可选：本地文件或URL 57 | } 58 | ``` 59 | 60 | 参数： 61 | - `prompt`（必需）：要生成的图像描述 62 | - `outputFile`（必需）：保存生成图像文件的绝对路径。**目录必须已存在**。当生成多张图像(n>1)时，文件将以序号命名（例如，'image-1.jpg'，'image-2.jpg'）。 63 | - `aspectRatio`（可选）：图像的宽高比（默认："1:1"，选项："1:1"，"16:9"，"4:3"，"3:2"，"2:3"，"3:4"，"9:16"，"21:9"） 64 | - `n`（可选）：要生成的图像数量（默认：1，范围：1-9）。当n>1时，输出文件名将自动编号。 65 | - `subjectReference`（可选）：本地图像文件路径或公共URL，用作角色参考。提供后，生成的图像将使用此作为角色外观参考。支持的格式：JPG，JPEG，PNG 66 | 67 | ### 文本转语音 68 | 69 | 将文本转换为语音，支持多种自定义选项： 70 | 71 | ```javascript 72 | // 文本转语音参数示例 73 | { 74 | "text": "你好，这是文本转语音功能的测试。", 75 | "model": "speech-02-hd", 76 | "voiceId": "female-shaonv", 77 | "speed": 1.0, 78 | "volume": 1.0, 79 | "pitch": 0, 80 | "emotion": "happy", 81 | "format": "mp3", 82 | "outputFile": "/absolute/path/to/audio.mp3", 83 | "subtitleEnable": true 84 | } 85 | ``` 86 | 87 | #### 基本参数： 88 | - `text`（必需）：要转换为语音的文本（最多10,000个字符） 89 | - `outputFile`（必需）：保存生成音频文件的绝对路径 90 | - `model`（可选）：要使用的模型版本（默认："speech-02-hd"，选项："speech-02-hd"，"speech-02-turbo"） 91 | - `speech-02-hd`：高清模型，具有出色的音色相似度、节奏稳定性和录音室级音频质量 92 | - `speech-02-turbo`：快速模型，性能出色且延迟低，增强的多语言能力 93 | - `voiceId`（可选）：要使用的声音ID（默认："male-qn-qingse"） 94 | - `speed`（可选）：语音速度（默认：1.0，范围：0.5-2.0） 95 | - `volume`（可选）：语音音量（默认：1.0，范围：0.1-10.0） 96 | - `pitch`（可选）：语音音调（默认：0，范围：-12到12） 97 | - `emotion`（可选）：语音情感（默认："neutral"，选项："happy"，"sad"，"angry"，"fearful"，"disgusted"，"surprised"，"neutral"） 98 | - `timberWeights`（可选）：声音混合设置，允许混合最多4种不同的声音及其权重 99 | ```javascript 100 | "timberWeights": [ 101 | { "voice_id": "male-qn-qingse", "weight": 70 }, 102 | { "voice_id": "female-shaonv", "weight": 30 } 103 | ] 104 | ``` 105 | 106 | #### 音频设置： 107 | - `format`（可选）：音频格式（默认："mp3"，选项："mp3"，"pcm"，"flac"，"wav"） 108 | - `sampleRate`（可选）：采样率，单位Hz（默认：32000，选项：8000，16000，22050，24000，32000，44100） 109 | - `bitrate`（可选）：MP3格式的比特率（默认：128000，选项：32000，64000，128000，256000） 110 | - `channel`（可选）：音频通道数（默认：1，选项：1=单声道，2=立体声） 111 | 112 | #### 高级功能： 113 | - `latexRead`（可选）：是否读取LaTeX公式（默认：false） 114 | - `pronunciationDict`（可选）：发音替换列表 115 | ```javascript 116 | "pronunciationDict": ["处理/(chu3)(li3)", "危险/dangerous"] 117 | ``` 118 | - `stream`（可选）：是否使用流式模式（默认：false） 119 | - `languageBoost`（可选）：增强特定语言的识别 120 | - 选项："Chinese"，"Chinese,Yue"，"English"，"Arabic"，"Russian"，"Spanish"，"French"，"Portuguese"，"German"，"Turkish"，"Dutch"，"Ukrainian"，"Vietnamese"，"Indonesian"，"Japanese"，"Italian"，"Korean"，"Thai"，"Polish"，"Romanian"，"Greek"，"Czech"，"Finnish"，"Hindi"，"auto" 121 | - `subtitleEnable`（可选）：是否启用字幕生成（默认：false） 122 | 123 | ## 许可证 124 | 125 | MIT 126 | 127 | ## 贡献 128 | 129 | 欢迎贡献！请随时提交Pull Request。 130 | 131 | ## 致谢 132 | 133 | - 感谢[Minimax API](https://platform.minimaxi.com/)提供AI模型 134 | - 感谢[Model Context Protocol](https://github.com/modelcontextprotocol/)提供MCP规范 135 | -------------------------------------------------------------------------------- /assets/minimax-mcp-tools-banner.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PsychArch/minimax-mcp-tools/6f7bbd522f725d3e41a30996d1d31cda06476dd1/assets/minimax-mcp-tools-banner.jpg -------------------------------------------------------------------------------- /index.js: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env node 2 | 3 | import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js"; 4 | import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js"; 5 | import { z } from "zod"; 6 | import { generateImage } from "./minimax-api.js"; 7 | import { generateSpeech } from "./minimax-tts-api.js"; 8 | import path from 'path'; 9 | import { fileURLToPath } from 'url'; 10 | import { dirname } from 'path'; 11 | 12 | const __filename = fileURLToPath(import.meta.url); 13 | const __dirname = dirname(__filename); 14 | 15 | // Create a new MCP server 16 | const server = new McpServer({ 17 | name: "minimax-mcp-tools", 18 | version: "1.4.0" 19 | }); 20 | 21 | // Define an image generation tool using Minimax API 22 | server.tool( 23 | "generate_image", 24 | { 25 | prompt: z.string().describe("Description of the image to generate"), 26 | aspectRatio: z.enum(["1:1", "16:9", "4:3", "3:2", "2:3", "3:4", "9:16", "21:9"]).optional().describe("Aspect ratio of the image"), 27 | outputFile: z.string().describe("Absolute path to save the generated image file. The directory must already exist. When generating multiple images (n>1), files will be named with sequential numbers (e.g., 'image-1.jpg', 'image-2.jpg')"), 28 | n: z.number().min(1).max(9).optional().describe("Number of images to generate (1-9)"), 29 | subjectReference: z.string().optional().describe("Path to a local image file or a public URL for character reference image") 30 | }, 31 | async ({ prompt, aspectRatio, outputFile, n, subjectReference }) => { 32 | // Get API key from environment variable 33 | const apiKey = process.env.MINIMAX_API_KEY; 34 | if (!apiKey) { 35 | return { 36 | content: [{ 37 | type: "text", 38 | text: "Error: MINIMAX_API_KEY environment variable is not set. Please set it in the MCP server configuration." 39 | }] 40 | }; 41 | } 42 | 43 | // Set default output directory if not provided 44 | const outputDirectory = path.dirname(outputFile); 45 | 46 | try { 47 | // Call the Minimax API to generate the image 48 | const result = await generateImage(prompt, apiKey, { 49 | aspectRatio: aspectRatio || "1:1", 50 | n: n || 1, 51 | subjectReference 52 | }, outputDirectory, outputFile); 53 | 54 | if (!result.success) { 55 | return { 56 | content: [{ 57 | type: "text", 58 | text: `Error generating image: ${result.error}` 59 | }] 60 | }; 61 | } 62 | 63 | // Prepare the response with image information 64 | const imageDetails = result.images.map(img => { 65 | return `- Image saved to: ${img.localPath}\n URL: ${img.url}`; 66 | }).join('\n'); 67 | 68 | return { 69 | content: [{ 70 | type: "text", 71 | text: `Successfully generated ${result.images.length} image(s):\n${imageDetails}` 72 | }] 73 | }; 74 | } catch (error) { 75 | console.error('Error in generate_image tool:', error); 76 | 77 | // Provide more specific error messages for common issues 78 | let errorMessage = error.message; 79 | if (error.message.includes('directory does not exist')) { 80 | errorMessage = `The specified output directory does not exist. Please make sure the directory exists before generating images. Error: ${error.message}`; 81 | } 82 | 83 | return { 84 | content: [{ 85 | type: "text", 86 | text: `Error generating image: ${errorMessage}` 87 | }] 88 | }; 89 | } 90 | } 91 | ); 92 | 93 | // Voice ID descriptions for better user experience 94 | const voiceIdDescription = `Voice ID to use. Options include: 95 | - Male voices: male-qn-qingse (青涩青年), male-qn-jingying (精英青年), male-qn-badao (霸道青年), male-qn-daxuesheng (青年大学生) 96 | - Female voices: female-shaonv (少女), female-yujie (御姐), female-chengshu (成熟女性), female-tianmei (甜美女性) 97 | - Presenters: presenter_male (男性主持人), presenter_female (女性主持人) 98 | - Audiobooks: audiobook_male_1 (男性有声书1), audiobook_male_2 (男性有声书2), audiobook_female_1 (女性有声书1), audiobook_female_2 (女性有声书2) 99 | - Beta voices: male-qn-qingse-jingpin (青涩青年-beta), male-qn-jingying-jingpin (精英青年-beta), male-qn-badao-jingpin (霸道青年-beta), male-qn-daxuesheng-jingpin (青年大学生-beta), female-shaonv-jingpin (少女音色-beta), female-yujie-jingpin (御姐音色-beta), female-chengshu-jingpin (成熟女性-beta), female-tianmei-jingpin (甜美女性-beta) 100 | - Character voices: clever_boy (聪明男童), cute_boy (可爱男童), lovely_girl (萌萌女童), cartoon_pig (卡通猪小琪), 101 | bingjiao_didi (病娇弟弟), junlang_nanyou (俊朗男友), chunzhen_xuedi (纯真学弟), lengdan_xiongzhang (冷淡学长), 102 | badao_shaoye (霸道少爷), tianxin_xiaoling (甜心小玲), qiaopi_mengmei (俏皮萌妹), wumei_yujie (妩媚御姐), 103 | diadia_xuemei (嗲嗲学妹), danya_xuejie (淡雅学姐) 104 | - Western characters: Santa_Claus, Grinch, Rudolph, Arnold, Charming_Santa, Charming_Lady, Sweet_Girl, Cute_Elf, Attractive_Girl, Serene_Woman`; 105 | 106 | // Define a text-to-speech tool using Minimax API 107 | server.tool( 108 | "generate_speech", 109 | { 110 | text: z.string().describe("Text to convert to speech"), 111 | model: z.enum(["speech-02-hd", "speech-02-turbo"]).optional().describe("Model version to use for speech generation. speech-02-hd is the newest high-definition model with better quality and naturalness. speech-02-turbo has excellent performance with low latency."), 112 | voiceId: z.string().optional().describe(voiceIdDescription), 113 | speed: z.number().min(0.5).max(2).optional().describe("Speech speed (0.5-2.0)"), 114 | volume: z.number().min(0.1).max(10).optional().describe("Speech volume (0.1-10.0)"), 115 | pitch: z.number().min(-12).max(12).optional().describe("Speech pitch (-12 to 12)"), 116 | emotion: z.enum(["happy", "sad", "angry", "fearful", "disgusted", "surprised", "neutral"]).optional().describe("Emotion of the speech"), 117 | format: z.enum(["mp3", "pcm", "flac", "wav"]).optional().describe("Audio format"), 118 | outputFile: z.string().describe("Absolute path to save the generated audio file"), 119 | sampleRate: z.enum([8000, 16000, 22050, 24000, 32000, 44100]).optional().describe("Sample rate of the generated audio"), 120 | bitrate: z.enum([32000, 64000, 128000, 256000]).optional().describe("Bitrate of the generated audio (for MP3 only)"), 121 | channel: z.enum([1, 2]).optional().describe("Number of audio channels (1=mono, 2=stereo)"), 122 | latexRead: z.boolean().optional().describe("Whether to read LaTeX formulas"), 123 | pronunciationDict: z.array(z.string()).optional().describe("List of pronunciation replacements"), 124 | timberWeights: z.array( 125 | z.object({ 126 | voice_id: z.string(), 127 | weight: z.number().min(1).max(100) 128 | }) 129 | ).optional().describe("Voice timber weights for voice mixing"), 130 | stream: z.boolean().optional().describe("Whether to use streaming mode"), 131 | languageBoost: z.enum([ 132 | "Chinese", "Chinese,Yue", "English", "Arabic", "Russian", "Spanish", 133 | "French", "Portuguese", "German", "Turkish", "Dutch", "Ukrainian", 134 | "Vietnamese", "Indonesian", "Japanese", "Italian", "Korean", "Thai", 135 | "Polish", "Romanian", "Greek", "Czech", "Finnish", "Hindi", "auto" 136 | ]).optional().describe("Enhance recognition of specific languages"), 137 | subtitleEnable: z.boolean().optional().describe("Whether to enable subtitle generation") 138 | }, 139 | async ({ 140 | text, model, voiceId, speed, volume, pitch, emotion, format, outputFile, 141 | sampleRate, bitrate, channel, latexRead, pronunciationDict, timberWeights, 142 | stream, languageBoost, subtitleEnable 143 | }) => { 144 | // Get API key and group ID from environment variables 145 | const apiKey = process.env.MINIMAX_API_KEY; 146 | const groupId = process.env.MINIMAX_GROUP_ID; 147 | 148 | if (!apiKey) { 149 | return { 150 | content: [{ 151 | type: "text", 152 | text: "Error: MINIMAX_API_KEY environment variable is not set. Please set it in the MCP server configuration." 153 | }] 154 | }; 155 | } 156 | 157 | if (!groupId) { 158 | return { 159 | content: [{ 160 | type: "text", 161 | text: "Error: MINIMAX_GROUP_ID environment variable is not set. Please set it in the MCP server configuration." 162 | }] 163 | }; 164 | } 165 | 166 | // Set default output directory if not provided 167 | const outputDirectory = path.dirname(outputFile); 168 | 169 | try { 170 | // Call the Minimax API to generate speech 171 | const result = await generateSpeech(text, apiKey, groupId, { 172 | model, 173 | voiceId: voiceId || "male-qn-qingse", 174 | speed: speed || 1.0, 175 | volume: volume || 1.0, 176 | pitch: pitch || 0, 177 | emotion: emotion || "neutral", 178 | format: format || "mp3", 179 | sampleRate, 180 | bitrate, 181 | channel, 182 | latexRead, 183 | pronunciationDict, 184 | timberWeights, 185 | stream, 186 | languageBoost, 187 | subtitleEnable 188 | }, outputDirectory, outputFile); 189 | 190 | if (!result.success) { 191 | return { 192 | content: [{ 193 | type: "text", 194 | text: `Error generating speech: ${result.error}` 195 | }] 196 | }; 197 | } 198 | 199 | // Prepare the response with audio information 200 | const audioInfo = result.audioInfo; 201 | const durationSeconds = audioInfo.length / 1000; // Convert milliseconds to seconds 202 | const fileSizeKB = Math.round(audioInfo.size / 1024); // Convert bytes to KB 203 | 204 | let responseText = `Successfully generated speech:\n- Audio saved to: ${outputFile}\n- Format: ${audioInfo.format}\n- Duration: ${durationSeconds.toFixed(2)} seconds\n- File size: ${fileSizeKB} KB`; 205 | 206 | // Add subtitle information if available 207 | if (audioInfo.subtitlePath) { 208 | responseText += `\n- Subtitle file: ${audioInfo.subtitlePath}`; 209 | } 210 | 211 | return { 212 | content: [{ 213 | type: "text", 214 | text: responseText 215 | }] 216 | }; 217 | } catch (error) { 218 | console.error('Error in generate_speech tool:', error); 219 | return { 220 | content: [{ 221 | type: "text", 222 | text: `Error generating speech: ${error.message}` 223 | }] 224 | }; 225 | } 226 | } 227 | ); 228 | 229 | // Log to stderr for debugging 230 | console.error("Minimax MCP Tools Server starting..."); 231 | 232 | // Set up stdio transport and connect 233 | const transport = new StdioServerTransport(); 234 | await server.connect(transport); 235 | 236 | console.error("MCP Server connected and ready to receive commands"); 237 | -------------------------------------------------------------------------------- /minimax-api.js: -------------------------------------------------------------------------------- 1 | import fetch from 'node-fetch'; 2 | import fs from 'fs'; 3 | import path from 'path'; 4 | import { fileURLToPath } from 'url'; 5 | import { dirname } from 'path'; 6 | 7 | const __filename = fileURLToPath(import.meta.url); 8 | const __dirname = dirname(__filename); 9 | 10 | /** 11 | * Convert a local file to base64 string 12 | * @param {string} filePath - Path to the local file 13 | * @returns {Promise} - Base64 encoded string with data URI scheme 14 | */ 15 | async function fileToBase64(filePath) { 16 | // Read file as binary buffer 17 | const data = await fs.promises.readFile(filePath); 18 | 19 | // Convert to base64 20 | const base64 = data.toString('base64'); 21 | 22 | // Determine MIME type based on file extension 23 | const ext = path.extname(filePath).toLowerCase(); 24 | const mimeType = ext === '.png' ? 'image/png' : 25 | (ext === '.gif' ? 'image/gif' : 'image/jpeg'); 26 | 27 | // Return in data URI format 28 | return `data:${mimeType};base64,${base64}`; 29 | } 30 | 31 | /** 32 | * Process subject reference to get base64 or URL 33 | * @param {string} reference - Local file path or URL 34 | * @returns {Promise} - Processed reference string 35 | */ 36 | async function processSubjectReference(reference) { 37 | if (!reference) return null; 38 | 39 | // Check if it's a URL (starts with http:// or https://) 40 | if (reference.startsWith('http://') || reference.startsWith('https://')) { 41 | return reference; // It's a URL, return as is 42 | } else if (reference.startsWith('data:image/')) { 43 | return reference; // It's already a data URI, return as is 44 | } else { 45 | // Treat as local file path 46 | if (!fs.existsSync(reference)) { 47 | throw new Error(`Subject reference file not found: ${reference}`); 48 | } 49 | console.error(`Converting file to base64: ${reference}`); 50 | return await fileToBase64(reference); 51 | } 52 | } 53 | 54 | /** 55 | * Generate an image using Minimax API and save it to a file 56 | * @param {string} prompt - The description for image generation 57 | * @param {string} apiKey - The Minimax API key 58 | * @param {Object} options - Additional options for image generation 59 | * @param {string} outputDir - Directory to save the generated image 60 | * @param {string} outputFile - Absolute path to save the generated image 61 | * @returns {Promise} - Object containing the image information 62 | */ 63 | export async function generateImage(prompt, apiKey, options = {}, outputDir, outputFile) { 64 | if (!apiKey) { 65 | throw new Error('Minimax API key is required'); 66 | } 67 | 68 | if (!outputFile) { 69 | throw new Error('Output file path is required'); 70 | } 71 | 72 | const url = "https://api.minimax.chat/v1/image_generation"; 73 | 74 | const payload = { 75 | model: options.model || "image-01", 76 | prompt: prompt, 77 | aspect_ratio: options.aspectRatio || "1:1", 78 | response_format: "url", 79 | n: options.n || 1, 80 | prompt_optimizer: options.promptOptimizer !== undefined ? options.promptOptimizer : true 81 | }; 82 | 83 | // Process subject reference if provided 84 | if (options.subjectReference) { 85 | try { 86 | const processedReference = await processSubjectReference(options.subjectReference); 87 | if (processedReference) { 88 | console.error(`Using subject reference: ${processedReference.substring(0, 50)}...`); 89 | payload.subject_reference = [ 90 | { 91 | type: "character", 92 | image_file: processedReference 93 | } 94 | ]; 95 | } 96 | } catch (error) { 97 | console.error(`Error processing subject reference: ${error.message}`); 98 | throw new Error(`Failed to process subject reference: ${error.message}`); 99 | } 100 | } 101 | 102 | const headers = { 103 | 'Authorization': `Bearer ${apiKey}`, 104 | 'Content-Type': 'application/json' 105 | }; 106 | 107 | // Check if output directory exists before proceeding 108 | const absoluteOutputDir = path.dirname(outputFile); 109 | if (!fs.existsSync(absoluteOutputDir)) { 110 | throw new Error(`Output directory does not exist: ${absoluteOutputDir}. Please provide a valid existing directory.`); 111 | } 112 | 113 | try { 114 | console.error(`Generating image with prompt: ${prompt}`); 115 | // Add debugging output to help diagnose issues 116 | console.error(`Making request to ${url} with payload: ${JSON.stringify({ 117 | ...payload, 118 | subject_reference: payload.subject_reference ? 119 | [{...payload.subject_reference[0], image_file: payload.subject_reference[0].image_file.substring(0, 50) + '...'}] : 120 | undefined 121 | })}`); 122 | 123 | const response = await fetch(url, { 124 | method: 'POST', 125 | headers: headers, 126 | body: JSON.stringify(payload) 127 | }); 128 | 129 | const data = await response.json(); 130 | console.error(`API response: ${JSON.stringify(data)}`); 131 | 132 | if (data.base_resp && data.base_resp.status_code !== 0) { 133 | throw new Error(`Minimax API error: ${data.base_resp.status_msg}`); 134 | } 135 | 136 | // Download and save images 137 | const savedImages = []; 138 | if (data.data && data.data.image_urls && data.data.image_urls.length > 0) { 139 | for (let i = 0; i < data.data.image_urls.length; i++) { 140 | const imageUrl = data.data.image_urls[i]; 141 | const timestamp = Date.now(); 142 | 143 | // Handle multiple images with numbered filenames 144 | let filePath; 145 | let filename; 146 | 147 | if (i === 0 && data.data.image_urls.length === 1) { 148 | // Single image case - use the exact outputFile 149 | filePath = outputFile; 150 | filename = path.basename(outputFile); 151 | } else { 152 | // Multiple images case - append number to filename 153 | const fileExt = path.extname(outputFile); 154 | const fileBaseName = path.basename(outputFile, fileExt); 155 | filename = `${fileBaseName}-${i+1}${fileExt}`; 156 | filePath = path.join(absoluteOutputDir, filename); 157 | } 158 | 159 | // Download the image 160 | const imageResponse = await fetch(imageUrl); 161 | const buffer = await imageResponse.buffer(); 162 | fs.writeFileSync(filePath, buffer); 163 | 164 | savedImages.push({ 165 | url: imageUrl, 166 | localPath: filePath, 167 | filename: filename 168 | }); 169 | } 170 | } 171 | 172 | return { 173 | success: true, 174 | requestId: data.id, 175 | images: savedImages, 176 | metadata: data.metadata, 177 | rawResponse: data 178 | }; 179 | } catch (error) { 180 | console.error('Error generating image:', error); 181 | return { 182 | success: false, 183 | error: error.message 184 | }; 185 | } 186 | } 187 | -------------------------------------------------------------------------------- /minimax-tts-api.js: -------------------------------------------------------------------------------- 1 | import fetch from 'node-fetch'; 2 | import fs from 'fs'; 3 | import path from 'path'; 4 | import { fileURLToPath } from 'url'; 5 | import { dirname } from 'path'; 6 | 7 | const __filename = fileURLToPath(import.meta.url); 8 | const __dirname = dirname(__filename); 9 | 10 | /** 11 | * Generate speech from text using Minimax API and save it to a file 12 | * @param {string} text - The text to convert to speech 13 | * @param {string} apiKey - The Minimax API key 14 | * @param {string} groupId - The Minimax group ID 15 | * @param {Object} options - Additional options for speech generation 16 | * @param {string} outputDir - Directory to save the generated audio 17 | * @param {string} outputFile - Absolute path to save the generated audio file 18 | * @returns {Promise} - Object containing the audio information 19 | */ 20 | export async function generateSpeech(text, apiKey, groupId, options = {}, outputDir, outputFile) { 21 | if (!apiKey) { 22 | throw new Error('Minimax API key is required'); 23 | } 24 | 25 | if (!groupId) { 26 | throw new Error('Minimax group ID is required'); 27 | } 28 | 29 | if (!outputFile) { 30 | throw new Error('Output file path is required'); 31 | } 32 | 33 | const url = `https://api.minimax.chat/v1/t2a_v2?GroupId=${groupId}`; 34 | 35 | // Default voice settings 36 | const voiceSettings = { 37 | voice_id: options.voiceId || "male-qn-qingse", 38 | speed: options.speed || 1.0, 39 | vol: options.volume || 1.0, 40 | pitch: options.pitch || 0, 41 | emotion: options.emotion || "neutral" 42 | }; 43 | 44 | // Add latex_read if provided 45 | if (options.latexRead !== undefined) { 46 | voiceSettings.latex_read = options.latexRead; 47 | } 48 | 49 | // Default audio settings 50 | const audioSettings = { 51 | sample_rate: options.sampleRate || 32000, 52 | bitrate: options.bitrate || 128000, 53 | format: options.format || "mp3", 54 | channel: options.channel || 1 55 | }; 56 | 57 | // Build the request payload 58 | const payload = { 59 | model: options.model || "speech-02-hd", 60 | text: text, 61 | stream: options.stream || false, 62 | voice_setting: voiceSettings, 63 | audio_setting: audioSettings 64 | }; 65 | 66 | // Add pronunciation dictionary if provided 67 | if (options.pronunciationDict && options.pronunciationDict.length > 0) { 68 | payload.pronunciation_dict = { 69 | tone: options.pronunciationDict 70 | }; 71 | } 72 | 73 | // Add timber weights if provided 74 | if (options.timberWeights && options.timberWeights.length > 0) { 75 | payload.timber_weights = options.timberWeights; 76 | // Remove voice_id from voice_setting when using timber_weights 77 | delete payload.voice_setting.voice_id; 78 | } 79 | 80 | // Add language boost if provided 81 | if (options.languageBoost) { 82 | payload.language_boost = options.languageBoost; 83 | } 84 | 85 | // Add subtitle enable if provided 86 | if (options.subtitleEnable !== undefined) { 87 | payload.subtitle_enable = options.subtitleEnable; 88 | } 89 | 90 | const headers = { 91 | 'Authorization': `Bearer ${apiKey}`, 92 | 'Content-Type': 'application/json' 93 | }; 94 | 95 | try { 96 | console.error(`Generating speech for text: ${text.substring(0, 50)}${text.length > 50 ? '...' : ''}`); 97 | const response = await fetch(url, { 98 | method: 'POST', 99 | headers: headers, 100 | body: JSON.stringify(payload) 101 | }); 102 | 103 | const data = await response.json(); 104 | 105 | if (data.base_resp && data.base_resp.status_code !== 0) { 106 | throw new Error(`Minimax API error: ${data.base_resp.status_msg}`); 107 | } 108 | 109 | // Create output directory if it doesn't exist 110 | const absoluteOutputDir = path.dirname(outputFile); 111 | if (!fs.existsSync(absoluteOutputDir)) { 112 | fs.mkdirSync(absoluteOutputDir, { recursive: true }); 113 | } 114 | 115 | // Save the audio file 116 | if (data.data && data.data.audio) { 117 | const timestamp = Date.now(); 118 | const format = audioSettings.format; 119 | 120 | // Use outputFile path directly 121 | const filename = path.basename(outputFile); 122 | const filePath = outputFile; 123 | 124 | // Convert hex string to buffer and save 125 | const buffer = Buffer.from(data.data.audio, 'hex'); 126 | fs.writeFileSync(filePath, buffer); 127 | 128 | // Save subtitle file if available 129 | let subtitlePath = null; 130 | if (data.subtitle_file) { 131 | const subtitleFilename = `subtitle_${timestamp}.json`; 132 | subtitlePath = path.join(absoluteOutputDir, subtitleFilename); 133 | 134 | // Download subtitle file 135 | try { 136 | const subtitleResponse = await fetch(data.subtitle_file); 137 | const subtitleData = await subtitleResponse.text(); 138 | fs.writeFileSync(subtitlePath, subtitleData); 139 | } catch (error) { 140 | console.error('Error downloading subtitle file:', error); 141 | } 142 | } 143 | 144 | return { 145 | success: true, 146 | traceId: data.trace_id, 147 | audioInfo: { 148 | localPath: filePath, 149 | filename: filename, 150 | format: format, 151 | length: data.extra_info?.audio_length || 0, // in milliseconds 152 | size: data.extra_info?.audio_size || 0, // in bytes 153 | subtitlePath: subtitlePath 154 | }, 155 | extraInfo: data.extra_info, 156 | rawResponse: data 157 | }; 158 | } else { 159 | throw new Error('No audio data returned from the API'); 160 | } 161 | } catch (error) { 162 | console.error('Error generating speech:', error); 163 | return { 164 | success: false, 165 | error: error.message 166 | }; 167 | } 168 | } 169 | -------------------------------------------------------------------------------- /package-lock.json: -------------------------------------------------------------------------------- 1 | { 2 | "name": "minimax-mcp-tools", 3 | "version": "1.2.0", 4 | "lockfileVersion": 3, 5 | "requires": true, 6 | "packages": { 7 | "": { 8 | "name": "minimax-mcp-tools", 9 | "version": "1.2.0", 10 | "license": "MIT", 11 | "dependencies": { 12 | "@modelcontextprotocol/sdk": "^1.7.0", 13 | "node-fetch": "^3.3.2", 14 | "zod": "^3.22.4" 15 | }, 16 | "bin": { 17 | "minimax-mcp-tools": "index.js" 18 | }, 19 | "engines": { 20 | "node": ">=16.0.0" 21 | } 22 | }, 23 | "node_modules/@modelcontextprotocol/sdk": { 24 | "version": "1.7.0", 25 | "resolved": 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"module", 6 | "main": "index.js", 7 | "bin": { 8 | "minimax-mcp-tools": "./index.js" 9 | }, 10 | "scripts": { 11 | "start": "node index.js", 12 | "test": "echo \"Error: no test specified\" && exit 1" 13 | }, 14 | "keywords": [ 15 | "mcp", 16 | "minimax", 17 | "ai", 18 | "image-generation", 19 | "text-to-speech", 20 | "tts" 21 | ], 22 | "author": "PsychArch (https://github.com/PsychArch)", 23 | "license": "MIT", 24 | "repository": { 25 | "type": "git", 26 | "url": "git+https://github.com/PsychArch/minimax-mcp-tools.git" 27 | }, 28 | "bugs": { 29 | "url": "https://github.com/PsychArch/minimax-mcp-tools/issues" 30 | }, 31 | "homepage": "https://github.com/PsychArch/minimax-mcp-tools#readme", 32 | "dependencies": { 33 | "@modelcontextprotocol/sdk": "^1.7.0", 34 | "node-fetch": "^3.3.2", 35 | "zod": "^3.22.4" 36 | }, 37 | "engines": { 38 | "node": ">=16.0.0" 39 | }, 40 | "files": [ 41 | "index.js", 42 | "minimax-api.js", 43 | "minimax-tts-api.js", 44 | "README.md", 45 | "LICENSE" 46 | ], 47 | "publishConfig": { 48 | "access": "public" 49 | } 50 | } 51 | --------------------------------------------------------------------------------