Puter Server

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MCP (Model Context Protocol) server for Puter AI media generation. Provides 6 AI-powered tools for image generation, text-to-speech, video generation, OCR, speech-to-text, and voice conversion.

Features

• txt2img: Text-to-image generation with multiple providers (OpenAI, Gemini, Together, xAI, Replicate)
• txt2speech: Text-to-speech conversion with multiple voices and engines
• txt2vid: Text-to-video generation (Sora, Veo, TogetherAI)
• img2txt: Image-to-text (OCR) with AWS Textract or Mistral
• speech2txt: Speech-to-text transcription
• speech2speech: Voice conversion using ElevenLabs

Key Features

• Intelligent Default Models: Automatically selects the best model based on task type
  • Text-to-image: gpt-image-2 (OpenAI)
  • Image-to-image: gemini-2.5-flash-image-preview (Gemini)
• Multiple Providers: Support for OpenAI, Google Gemini, xAI (Grok), Replicate, Together AI, ElevenLabs
• Flexible Output: Supports base64 and URL output formats
• Test Mode: Built-in test mode for development without consuming credits

Quick Start

Prerequisites

• Node.js 18+
• Puter API Key (get from puter.com)

Installation

# Clone the repository
git clone https://github.com/your-username/puter-mcp.git
cd puter-mcp

# Install dependencies
npm install

# Build the project
npm run build

Configuration

1. Copy the environment file:

cp .env.example .env

2. Edit .env and add your Puter API key:

PUTER_API_KEY=your_puter_api_key_here

Usage

Claude Desktop / Trae

Add the following to your Claude Desktop or Trae configuration file:

Windows:

%APPDATA%\Trae\mcp_settings.json

macOS:

~/Library/Application Support/Trae/mcp_settings.json

Linux:

~/.config/Trae/mcp_settings.json

Configuration content:

{
  "mcpServers": {
    "puter-mcp": {
      "command": "node",
      "args": ["path/to/puter-mcp/dist/index.js"],
      "env": {
        "PUTER_API_KEY": "your_api_key"
      }
    }
  }
}

Command Line

# Stdio mode (default)
npm start

# SSE mode
TRANSPORT=sse PORT=3000 npm start

Tools Reference

txt2img

Generate images from text prompts. Supports both text-to-image and image-to-image.

Parameter	Type	Description
prompt	string	Text description for the image
model	string	Model to use (default: gpt-image-2 for text-to-image, gemini-2.5-flash-image-preview for image-to-image)
provider	string	AI provider (openai-image-generation, gemini, together, xai, replicate-image-generation)
quality	string	Image quality (high, medium, low, hd, standard)
ratio	object	Aspect ratio {w, h}
input_image	string	Input image for image-to-image (Base64 or URL)
test_mode	boolean	Test mode without credits
output_format	string	Output format (base64, url)

Example:

Generate a picture of a cat

txt2speech

Convert text to speech.

Parameter	Type	Description
text	string	Text to convert
provider	string	TTS provider (aws-polly, openai, elevenlabs, gemini, xai)
model	string	TTS model
voice	string	Voice ID
engine	string	Synthesis engine (standard, neural, long-form, generative)
language	string	Language code
test_mode	boolean	Test mode

Example:

Convert "Hello world" to speech

txt2vid

Generate videos from text prompts.

Parameter	Type	Description
prompt	string	Video description
model	string	Video model (sora-2, veo-3.1-generate-preview, etc.)
seconds	number	Video duration (4, 8, 12)
size	string	Resolution (e.g., 1280x720)
test_mode	boolean	Test mode

Example:

Generate a video of a drone flying over mountains

img2txt

Extract text from images (OCR).

Parameter	Type	Description
source	string	Image URL, Base64, or Puter path
provider	string	OCR provider (aws-textract, mistral)
test_mode	boolean	Test mode

Example:

Extract text from this image: https://example.com/document.png

speech2txt

Convert speech to text.

Parameter	Type	Description
audio	string	Audio URL, Base64, or Puter path
provider	string	STT provider (openai, xai)
model	string	Model name
language	string	Language code
translate	boolean	Translate to English
test_mode	boolean	Test mode

Example:

Transcribe this audio: https://example.com/speech.mp3

speech2speech

Convert voice to another voice using ElevenLabs.

Parameter	Type	Description
audio	string	Input audio URL, Base64, or Puter path
voice	string	Target ElevenLabs voice ID
model	string	Voice model (default: eleven_multilingual_sts_v2)
output_format	string	Output format
test_mode	boolean	Test mode

Example:

Convert this voice to a different voice: https://example.com/speech.mp3

Development

Project Structure

puter-mcp/
├── src/
│   ├── index.ts          # Server entry point
│   ├── client.ts         # Puter SDK initialization
│   ├── utils.ts          # Response formatting utilities
│   ├── puter.d.ts       # TypeScript declarations
│   └── tools/
│       ├── index.ts      # Tool registration
│       ├── txt2img.ts
│       ├── txt2speech.ts
│       ├── txt2vid.ts
│       ├── img2txt.ts
│       ├── speech2txt.ts
│       └── speech2speech.ts
├── scripts/
│   └── verify-responses.ts  # SDK response verification
├── dist/                 # Compiled output
├── package.json
└── tsconfig.json

Build

npm run build

Type Check

npm run typecheck

Development Mode

npm run dev

License

MIT License - see LICENSE for details.

Acknowledgments

• Puter - AI services provider
• MCP SDK - Model Context Protocol

Support

• Issue Tracker: https://github.com/your-username/puter-mcp/issues
• Documentation: https://docs.puter.com/AI/