mcp s

This MCP repository exposes multiple independent servers that can be run with the MCP protocol. The available servers include Music Creator for music generation and audio processing, Image Editor for image manipulation and augmentation, Gemini TTS for text-to-speech generation with Gemini, and Sora Video for AI-driven video creation. Each server is published as a separate npm package and can be launched via the MCP runtime (for example using npx). Once running, you can use the MCP tooling to orchestrate tasks, pipelines, and agents that leverage these capabilities to build AI-powered workflows such as automated music production, image processing pipelines, voice generation with multiple voices and languages, or AI-generated videos from prompts. Refer to the individual server packages for their specific request formats and configuration options.

Prerequisites:

• Node.js (14.x or newer) and npm installed on your system.
• Optional: a suitable runtime environment (Docker is supported, but this guide covers npm-based setup).

Step-by-step installation:

1. Install Node.js and npm from https://nodejs.org/

2. Install any of the MCP servers from npm (examples shown for each server):

   Music Creator:

   npm install @truffle-ai/music-creator-server
   

   Image Editor:

   npm install @truffle-ai/image-editor-server
   

   Gemini TTS:

   npm install @truffle-ai/gemini-tts-server
   

   Sora Video:

   npm install @truffle-ai/sora-video-server
   

3. Run the chosen server via npx (as per mcp_config) or use a runner that supports MCP:

   npx -y @truffle-ai/music-creator-server
   

   You can repeat for image-editor, gemini-tts, and sora-video as needed.

4. If you prefer to install globally or manage via a project, initialize a Node.js project and add the dependencies in package.json, then run your preferred npm script to start the server.

5. Ensure any required API keys or environment variables (such as Gemini TTS credentials) are provided in your environment before starting the servers.

Tips and caveats:

• Each server is published as its own npm package; install only the ones you need for your workflow.
• Gemini TTS may require API keys or credentials; set GEMINI_TTS_API_KEY in your environment if the server demands it.
• Sora Video may require an OpenAI API key or other credentials depending on the generation backend used.
• When running multiple servers, ensure ports do not conflict and that your MCP orchestrator is aware of the server endpoints.
• If using npx to run servers, the -y flag can skip interactive prompts during package resolution.
• Refer to the individual server repositories or README files for detailed configuration options, input formats, and example pipelines.