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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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    Create disposable email inboxes, extract OTP codes in 15 languages, and receive webhooks — all from your AI agent. One call: create inbox → wait for email → get the verification code. Supports 7 domains, email forwarding, and HMAC-signed webhooks with OTP included in payload. Free tier available.
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    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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    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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    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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    An MCP server that enables AI assistants to control Blender through 108 specialized tools for 3D modeling, animation, and rendering. It provides a secure, thread-safe interface to execute validated operations in Blender using natural language commands.
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    AGPL 3.0
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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