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    Enables AI assistants to present multiple UI component designs in a browser for visual selection, with AI-powered design generation using MiniMax-M2.1 from natural language prompts or manual HTML input.
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    MIT
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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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    MCP server for controlling a transparent sci-fi cockpit overlay on your desktop, allowing AI agents to spawn, move, configure, and close holographic widgets (clock, system stats, map, etc.) via MCP.
    MIT
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    Provides AI-powered educational tools for teachers including lesson planning, quiz creation, student progress analysis, learning path recommendations, and rubric generation. Enables educators to automate administrative tasks and personalize learning experiences through natural language interactions.
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    MIT
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    Enables AI assistants to generate production-ready, professional UI design systems and components from simple descriptions, with real images, animated components, and automated quality checks.
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    Enables AI assistants to present interactive choices to users via browser popups, supporting single and multiple selections with optional custom input.
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    MIT
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    A TypeScript-based MCP server that enables AI assistants to execute HTTP requests with full control over methods, headers, and body content. It facilitates seamless interaction with web APIs and endpoints through a versatile tool that handles automatic JSON formatting and response truncation.
    1
    MIT
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    Drive the Unreal Engine 5.7 editor from any MCP client over a local TCP socket - 105 editor-automation tools (72 native C++ handlers + 33 bridge-side): actors, levels, materials, Blueprints, sequencer, rendering, asset import, editor Python. Native C++ plugin + thin Python bridge, ~50ms round-trips. MIT.
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    MIT
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    Manage Job using MCP: Manage Job, Candidates, Resumes, Salaries all within this one MCP tools It can solve problems like: You have 50 resumes to screen. Your AI assistant can reason about candidates, but it can't: Read PDFs/DOCX — The AI can't open binary files Extract structured data — Copy-pasting loses formatting, metrics, and context Compare at scale — No consistent scoring across candida
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    MIT
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    A Model Context Protocol server that connects Claude Desktop to AI Note task management, enabling task creation, updates and management through natural language conversations.
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    MIT
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    Enables generation of professional diagrams and interactive prototypes from natural language descriptions using multiple AI models. Supports creating draw.io diagrams, HTML prototypes, and styled mobile app interfaces with Apple HIG and WeChat Mini Program design standards.
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    MIT
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    A Model Context Protocol server that enables Claude and other MCP-compatible AI assistants to securely access and manage PI Dashboard resources including categories and charts.
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    Apache 2.0