Add clarifyprompt-mcp server

MCP server for AI prompt optimization — transforms vague prompts into
platform-optimized prompts for 58 AI platforms across 7 categories
(image, video, voice, music, code, chat, document).

https://github.com/LumabyteCo/clarifyprompt-mcp
https://www.npmjs.com/package/clarifyprompt-mcp
This commit is contained in:
Ahmed Radwan
2026-02-26 18:19:45 +01:00
parent 19ab2af401
commit 67fe1606c4

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@@ -696,6 +696,7 @@ Tools and integrations that enhance the development workflow and environment man
- [langfuse/mcp-server-langfuse](https://github.com/langfuse/mcp-server-langfuse) 🐍 🏠 - MCP server to access and manage LLM application prompts created with [Langfuse]([https://langfuse.com/](https://langfuse.com/docs/prompts/get-started)) Prompt Management.
- [linuxsuren/atest-mcp-server](https://github.com/LinuxSuRen/atest-mcp-server) 📇 🏠 🐧 - An MCP server to manage test suites and cases, which is an alternative to Postman.
- [linw1995/nvim-mcp](https://github.com/linw1995/nvim-mcp) 🦀 🏠 🍎 🪟 🐧 - A MCP server to interact with Neovim
- [LumabyteCo/clarifyprompt-mcp](https://github.com/LumabyteCo/clarifyprompt-mcp) 📇 ☁️ 🍎 🪟 🐧 - MCP server for AI prompt optimization — transforms vague prompts into platform-optimized prompts for 58 AI platforms across 7 categories (image, video, voice, music, code, chat, document).
- [louis030195/gptzero-mcp](https://github.com/louis030195/gptzero-mcp) 📇 ☁️ 🍎 🪟 🐧 - AI detection for text content with GPTZero API. Detect AI-generated text, get confidence scores, multilingual support (French/Spanish), and detailed probability breakdowns.
- [lpigeon/ros-mcp-server](https://github.com/lpigeon/ros-mcp-server) 🐍 🏠 🍎 🪟 🐧 - The ROS MCP Server supports robot control by converting user-issued natural language commands into ROS or ROS2 control commands.
- [lpigeon/unitree-go2-mcp-server](https://github.com/lpigeon/unitree-go2-mcp-server) 🐍 🏠 🐧 - The Unitree Go2 MCP Server is a server built on the MCP that enables users to control the Unitree Go2 robot using natural language commands interpreted by a LLM.