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    A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.
    1
    3 npm
    ISC
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    MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution
    21
    MIT
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    Enables a bot to inspect, query, create, edit, and script Roblox Studio instances in token-cheap batches, plus run Luau, playtests, screenshots, and inputs through Roblox's official Studio MCP connection. It runs locally over stdio or an authenticated local HTTP endpoint, returning small structured answers instead of dumping whole games into context.
    8
    MIT
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    Enables an MCP-compatible AI client to author Blender Python, run Blender, import the resulting asset into Unity with materials and a prefab, place it in the active scene, verify the import, and revise the same asset using stable IDs.
    69
    2
    MIT
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    An MCP server that lets AI models run code in 31 languages, evaluate symbolic math and logic problems, and measure complexity—exposed as 48 tools for execution, session management, translation, optimization, and more.
    51
    219 PyPI
    5
    Apache 2.0
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    Enables AI models to generate production-ready, 60fps-optimized GSAP animation code from natural language requests. It provides expert-level tools for creating complex sequences, debugging performance issues, and setting up GSAP within modern web frameworks.
    6
    56 npm
    5
    MIT
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    Enables routing of ML tasks like chat, sentiment analysis, recommendations, and summarization to appropriate models through a dynamic YAML-based registry. Provides async FastAPI endpoints with streaming support, retry logic, and pluggable model architecture for scalable ML inference.
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    Integrates ElevenLabs Text-to-Speech capabilities with Cursor through the Model Context Protocol, allowing users to convert text to speech with selectable voices within the Cursor editor.
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    Enables AI clients to drive SketchUp Pro 2026 on a Windows host, including from WSL, by executing arbitrary Ruby in the active model, reading scene and selection details, and capturing viewport screenshots. It talks to a loopback TCP bridge inside SketchUp using a connect-per-command protocol for reliable, desync-free control.
    4
    MIT
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    A multi-task MCP server for AI code optimization and testing that integrates with VSCode/Cursor, CLI tools, and autonomous agents. It provides tools for running tests, generating code improvements, and managing objectives across different environments.
    1
    Apache 2.0