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Quizbot.ai

Advanced AI tool for creating high-quality questions.

Magnific AI

AI upscaler & enhancer with hallucinating details.

Quizgecko

Quizgecko is an AI-powered platform that generates quizzes from existing content.

comment-stripper-mcp

A flexible MCP server that batch processes code files to remove comments across multiple programming languages. Currently supports JavaScript, TypeScript, and Vue files with regex-based pattern matchi

Open Food Facts MCP Server

MCP Server for OpenFoodFacts.

NOVA MCP lets you configure NOVA (the prompt pattern matching) as a guardrail for your AI system.

The NOVA MCP Security Gateway is a prompt-validation service that runs first in your Model Context Protocol (MCP) chain. It loads Nova rules (in .nov format), checks each incoming prompt against these

INDIAN MEDICINES (MCP SERVER)

A comprehensive API server for medicine information lookup, alternative suggestions, and composition analysis. This server provides multiple endpoints for searching, filtering, and analyzing medicine

Food Data Central MCP Server

Food Tracker MCP

A simple Model Context Protocol (MCP) server that connects Claude AI with the OpenFoodFacts database to create an intelligent nutritional assistant.

MCP Server Obsidian Omnisearch

An MCP server that enables searches within Obsidian vaults using the Omnisearch plugin API. Returns absolute paths to matching notes for seamless integration. 🚀

Cursor MCP Monitor

Real-time monitoring tool for Model Context Protocol (MCP) interactions in Cursor AI editor. Track, analyze, and debug AI context exchanges between LLM clients and servers. Supports log rotation, patt

Spark-TTS

<p>Overview Spark-TTS 是由出门问问（Mobvoi）联合多所顶尖学术机构（如香港科技大学、上海交通大学）最新推出的新一代语音合成模型，其核心创新在于BiCodec编码技术和与文本大模型的结构统一性，利用大型语言模型 (LLM) 的强大功能实现高度准确且自然的语音合成。</p> <p>Spark-TTS is an advanced text

Food Mood

Food Mood 是 Google AI 推出的创意菜谱生成工具。支持用户将两种不同国家的菜系进行融合，创造出独特的食谱。用户可以根据自己的需求选择菜品类别（如前菜、主菜、甜点等）、用餐人数、添加特定食材，指定饮食偏好（如素食、无麸质等）。用户可以选择随机生成，获得灵感。生成的食谱包含详细的食材清单和制作步骤，附有精致的插图和实用的贴士建议。 Food Mood的主要功能 融合菜系：

Dive3D

Dive3D是北京大学和小红书公司合作推出的文本到3D生成框架。框架基于分数的匹配（Score Implicit Matching，SIM）损失替代传统的KL散度目标，有效避免模式坍塌问题，显著提升3D生成内容的多样性。Dive3D在文本对齐、人类偏好和视觉保真度方面表现出色，在GPTEval3D基准测试中取得优异的定量结果，证明了在生成高质量、多样化3D资产方面的强大能力。 Dive3D的项目