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    Analyzes React component changes by performing structural analysis and generating visual diffs to identify pixel-level differences. It integrates with Figma to validate implementation compliance against design specifications and automates component reviews across git branches.
    MIT
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    Enables AI agents to inspect and drive Blender scenes directly, either through a live editor bridge on port 8190 or automatically via headless background CLI when Blender is closed. Provides token-efficient tools for scene outlining, object creation and modification, modifiers, materials, rendering, asset export, and arbitrary bpy script execution.
    11
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    BlenderMCP connects Blender to AI agents via the Model Context Protocol, enabling direct 3D object manipulation, material application, asset downloads, and Python code execution with secure token-authenticated local communication.
    MIT
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    Unreal-Blender MCP is a unified server for controlling both Blender and Unreal Engine via AI agents using the MCP (Machine Control Protocol) approach.
    21
    MIT
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    Enables AI agents to control a live Blender session through MCP tools for scene and object manipulation, rendering, PolyHaven asset search/download/texturing, and guided scene workflows, while allowing runtime switching between local or OpenAI-compatible LLM providers.
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    A Model Context Protocol server that allows management and execution of Blender Python scripts, enabling users to create, edit and run scripts in a headless Blender environment through natural language interfaces.
    11
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    Let AI agents operate a real USB-connected iPhone from Linux — no Mac, no jailbreak, no paid developer account. Screenshots, taps, swipes, text input, element tree and app control via WebDriverAgent, with CoreDevice HID fallback.
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    MIT
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    Enables comprehensive control of Blender 3D from Claude Desktop, offering 26 tools for object manipulation, scene management, and material editing. It supports asset integration from platforms like Poly Haven and allows for direct execution of custom Python scripts within the Blender environment.
    26
    MIT
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    Deterministic, LLM-first control of Word documents (.docx). An agent reads the outline, finds text by phrase, and applies edits as tracked changes and comments in one atomic batch, with a safety layer that refuses edits based on a stale read and rolls back failed batches. It works on .docx files directly, and can also drive an open document in Microsoft Word on Windows or in LibreOffice Writer.
    4
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    MIT
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    Enables remote control of Blender via the Model Context Protocol, allowing users to execute Python scripts, query scene data, and generate 3D models from images. It provides a bridge for AI clients to interact directly with Blender's internal environment and automate 3D content creation.
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    MIT
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    Enables LLMs such as Claude to drive Blender through high-level tools for real-world-scale modeling, PBR texturing, lighting, rendering, rigging/animation, and UE5 game-asset baking and export. It also provides asset-library search, reference comparison, quality inspection, and import/export of common 3D file formats.
    58
    MIT
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    Enables local, versioned Blender character and shot production through fixed immutable stage transitions — reference import, blockout, mesh, retopology, look development, groom, rigging, animation, and rendering — with review gates, approvals, packaging, and resumable job control. It exposes these production operations over MCP instead of executing arbitrary Blender Python, keeping every write deterministic and caller-specified by exact source version.
    30
    MIT
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    Enables AI agents to control Blender through 150+ tools across 24 modules, including modeling, materials, lighting, animation, rendering, mesh quality analysis, and visual feedback, plus expert prompts and goal-first workflow management.
    209
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    MIT
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    Enables AI agents to drive a live AutoCAD session over stdio with transactional, serialized writes: inspecting and saving documents, managing layers, creating and editing line/circle/arc/polyline/rectangle/text entities, querying selections, setting checkpoints, and exporting DXF. Every request is validated against strict schemas with document revision checks and save-reopen geometry readback, and a headless backend is available when no AutoCAD instance is running.
    MIT
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    Enables AI agents to drive a connected Android phone over ADB with 28 tools covering screenshots and UI inspection, taps/swipes/typing, app install and launch, file transfer, wireless pairing, and one-call scripted flows like tap-by-text and wait-for-text.
    MIT
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    Lets an MCP client see and control apps on a local X11 Linux desktop by clicking, typing, scrolling, dragging, and pasting text, with a visible Stop control that returns input to the user.
    MIT
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    MCP server that provides computer control capabilities including mouse movements, keyboard actions, screenshot capture with OCR, and window management through a unified API.
    650 PyPI
    173
    MIT
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    Enables AI agents to operate websites and Windows desktop applications by reading and acting on webpage elements, exposed UI controls, and screenshots with mouse and keyboard input. Combines browser, desktop, and computer-control channels in a single task, with an optional target selector for batched actions.
    2
    MIT
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    Connects an AI agent to Blender 5.2 LTS over stdio, letting it read the scene hierarchy, create and transform primitive meshes, assign Principled BSDF materials, delete objects, save .blend files, and run raw bpy scripts through 12 tools. A two-process socket bridge keeps bpy calls on Blender's main thread, so no pip packages or admin rights are needed inside Blender.
    MIT
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    A native MCP server that gives AI assistants full Chrome control via the DevTools Protocol and an unpacked extension, including semantic element refs, real input, screenshots, and browser/tab/window management. It exposes 43 callable tools with a visible control overlay and an optional read-only security profile.
    2
    MIT
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    MCP server for AI to operate Windows apps via screen OCR and background input, featuring structured WhatsApp UI tools for reading chats, detecting unread messages, and sending messages without stealing focus.
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    Enables AI agents to control a live Blender session over the Model Context Protocol, creating, modifying, and inspecting scene objects, applying materials, rendering images, and pulling PolyHaven assets. Prompts can be routed through a provider-agnostic LLM backend (Ollama, LM Studio, llama.cpp, OpenAI-compatible, or Azure) that is configurable at startup or swappable at runtime.
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  • F
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    Enables AI agents to control a live Blender session over MCP, creating and modifying objects, applying materials, rendering images, and downloading PolyHaven assets. It also routes prompts to a provider-agnostic LLM backend (Ollama, LM Studio, llama.cpp, OpenAI-compatible, Azure) that can be listed and switched at runtime.
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