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    Drives real COMSOL Multiphysics sessions through natural language over MCP, covering geometry, materials, physics fields, coupling, meshing, studies, solving, and result visualization via 99 tools with session protection, serial execution, and HTTP authentication. Also provides an original 3D heat-sink example and curated classic case recipes across physics domains such as AC/DC, acoustics, heat transfer, structural mechanics, and optics.
    MIT
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    Enables AI assistants to take screenshots of localhost development servers for visual verification of UI changes, reducing manual debugging cycles.
    25 npm
    MIT
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    MCP server for capturing screenshots of desktop windows on Windows. Allows AI assistants to see what's on screen for UI development, debugging, and iterating on designs.
    MIT
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    Enables LLMs to capture and analyze screenshots of your screen, windows, or regions with smart detection capabilities. Features natural language queries, automatic window targeting, and text enhancement for UI debugging and visual inspection.
    2
    MIT
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    Enables AI agents to capture screenshots of windows (e.g., WeChat developer tools) and save them locally, allowing the agent to read the image directly and close the code-change-to-review loop without OSS or network.
    1
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    A Model Context Protocol server that helps programmers understand code by providing explanations, tech stack analysis, and best practice suggestions through prompt templates.
    3
    9 npm
    1
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  • F
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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.
    15
    4
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    MCP server that connects AI assistants to Redash, enabling listing of assets, read-only query execution, dashboard inspection, and alert management through the Redash API.
    MIT
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    Enables LLMs to perform addition calculations through a stdio-based MCP server with an add_numbers tool and type-safe validation.
    38 npm
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  • A
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    maintenance
    Enables Codex to consult Claude Code for a second opinion through a local stdio MCP server, exposing the ask_claude tool for text-only reviews and recommendations using existing Claude Code authentication. Codex can request findings and tradeoff analysis without allowing Claude to edit files or run commands.
    1
    1
    MIT
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    Integrates Google's Gemini AI models into Claude Code and other MCP clients to provide second opinions, code comparisons, and token counting. It supports streaming responses and multi-turn conversations directly within your existing AI development workflow.
    3
    Apache 2.0