Multi-Source Media MCP Server (M3S)

📖 Overview

Multi-Source Media MCP Server (M3S) is a high-performance, extensible MCP (Model Context Protocol) tool server written in Go. It provides a unified interface for Large Language Models (LLMs) to access, generate, and manipulate media content from a variety of sources.

By acting as a bridge between LLMs and diverse media APIs, web sources, and local files, M3S enables complex, media-rich workflows in AI applications.

✨ Key Features

• Multi-Source Access: Unified interface to fetch images and videos from platforms like Unsplash and Pexels.
• AI-Powered Generation: Built-in tools for text-to-image and image-to-image generation using various AI backends.
• Web Content Crawling: Asynchronously crawl and retrieve images from web pages.
• Extensible by Design: Easily add new tools, media sources, or AI backends.

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🚀 Build & Run

1. Build the server:

   go build -o m3s-server ./cmd/server

2. Run the server:

   The server loads configuration from configs/config.yaml by default.

   ./m3s-server    

   To use a different configuration file, use the -config flag:

   ./m3s-server --config=path/to/your/config.yaml

For more detailed instructions, see docs/build.md.

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📝 Future Work

• User Content Management: Implement tools for uploading, listing, and managing user-owned images.
• Text-to-Video Generation: Add a new tool for generating video content from text prompts.
• Embedding-based Similarity Search: Implement a tool to find visually similar images based on an input image.
• Caching & Performance: Introduce a caching layer for API responses to improve performance and reduce rate-limit consumption.
• AI-based Tagging: Add a tool to automatically generate descriptive tags or captions for images.