Awesome MCPMedia & Creativity

zcaceres/markdownify-mcp

⭐ 2988 TypeScript repository created 2024-12-18

Markdownify MCP Server is a Model Context Protocol (MCP) server designed to convert a wide range of file types and web content into Markdown format. This conversion capability facilitates easy content sharing and management within the MCP ecosystem. The server supports multiple file formats including PDFs, images, audio files (with transcription), DOCX, XLSX, and PPTX files. Additionally, it can convert web content such as YouTube video transcripts, Bing search results, and general web pages into Markdown. Users can also retrieve existing Markdown files through the server, with an option to restrict file retrieval to a specific directory. The project provides a comprehensive set of tools for these conversions, each tailored to handle specific content types. For example, the 'youtube-to-markdown' tool converts YouTube videos to Markdown, while 'pdf-to-markdown' handles PDF files. Other tools include 'bing-search-to-markdown', 'webpage-to-markdown', 'image-to-markdown', 'audio-to-markdown', 'docx-to-markdown', 'xlsx-to-markdown', 'pptx-to-markdown', and 'get-markdown-file'. This modular approach allows for flexible and extensible content transformation. Markdownify MCP Server is built with ease of use and integration in mind. It can be started and managed via simple commands, and it supports integration with desktop applications through configurable server settings. The project encourages community contributions and is open source under the MIT License. It also highlights a need for Windows support testing and contributions, indicating active development and community involvement. Overall, Markdownify MCP Server enhances the MCP ecosystem by providing robust tools to convert diverse content into a unified Markdown format, promoting better content accessibility, readability, and sharing.

https://github.com/zcaceres/markdownify-mcp

aianthropicanthropic-aianthropic-claudeaudio-transcriptionbing-search-resultsbing-search-to-markdowncontent-managementcontent-sharingcontent-transformationdocx-to-markdownimage-to-markdownmarkdownmarkdown-conversionmarkdown-file-retrievalmarkdown-files-retrievalmcpmcp-servermit-licensemodel-context-protocolocropen-sourcepdf-to-markdownpptx-to-markdowntoolsweb-content-conversionweb-page-to-markdownweb-pagesxlsx-to-markdownyoutube-transcriptyoutube-transcripts

Also in Media & Creativity

heygen-com/hyperframes

HyperFrames is an open-source framework that converts HTML, CSS, and media into deterministic MP4 videos, designed for AI agents and automated content creation workflows.

samuelgursky/davinci-resolve-mcp

DaVinci Resolve MCP Server is an MCP server that enables AI coding assistants like Cursor and Claude Desktop to control and query DaVinci Resolve through natural language commands.

heshengtao/comfyui_LLM_party

ComfyUI LLM Party is a versatile framework integrating multiple LLMs and MCP server support within ComfyUI to build customizable LLM workflows and AI assistants with social app integration and advanced multi-agent interactions.

MiniMax-AI/MiniMax-MCP

MiniMax-MCP is the official MiniMax Model Context Protocol server enabling MCP clients to interact with advanced AI APIs for text-to-speech, voice cloning, image, and video generation.

elevenlabs/elevenlabs-mcp

The official ElevenLabs MCP server enabling MCP clients to access advanced text-to-speech and audio processing capabilities through ElevenLabs' APIs.

gyoridavid/short-video-maker

Short Video Maker is an open-source tool that automates the creation of short-form videos for social media using the Model Context Protocol and a REST API.

abhiemj/manim-mcp-server

Manim MCP Server is an MCP server that executes Manim animation scripts and returns generated videos, enabling dynamic animation creation through the Model Context Protocol.

varunneal/spotify-mcp

spotify-mcp is an MCP server that connects large language models like Claude with Spotify, enabling playback control, music search, and playlist management through the Model Context Protocol.