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    Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.
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    Apache 2.0
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    Dynamic QR code platform for AI agents. Create, customize, and track QR codes without regenerating images. 37 tools covering 11 QR types (URL, vCard, WiFi, event…).
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    MIT
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    An AI-centric MCP server that enables automated Xilinx Vivado workflows, including project management, synthesis, implementation, and timing analysis. It allows AI agents to drive hardware design processes while integrating directly with the official Vivado GUI for visual context.
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    Helps users decide what to eat by randomly selecting meals from a database of 100+ options or a custom list using an interactive spinning wheel widget. It supports cuisine filtering and provides an engaging visual interface to resolve mealtime indecision.
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    A template for deploying Model Context Protocol servers as Next.js routes using the mcp-handler adapter, enabling easy integration of MCP tools, prompts, and resources into any Next.js application.
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    MIT
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    Helps developers choose optimal technology stacks through progressive questioning about project requirements, budget, and technical comfort level. Provides personalized recommendations focused on beginner-friendly Platform-as-a-Service solutions with deployment guides and cost estimates.
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    A template for building MCP servers in Next.js applications using the Vercel MCP Adapter. Provides a foundation for adding custom tools, prompts, and resources to any Next.js project with deployment support on Vercel.
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    A minimal MCP server demonstrating how to build ChatGPT-compatible applications using Next.js with widget rendering capabilities. Provides a starter template for integrating Next.js applications with the ChatGPT Apps SDK through the Model Context Protocol.
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    A minimal starter for building OpenAI Apps SDK compatible MCP servers that support native widget rendering within ChatGPT. It demonstrates how to integrate Next.js tools and resources into the ChatGPT interface using the Model Context Protocol.
    Last updated