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"Material Design" matching MCP servers:

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    Chain of Draft Server is a powerful AI-driven tool that helps developers make better decisions through systematic, iterative refinement of thoughts and designs. It integrates seamlessly with popular AI agents and provides a structured approach to reasoning, API design, architecture decisions, code r
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    Connects Blender to AI through the Model Context Protocol to enable prompt-assisted 3D modeling and scene manipulation. It supports object creation, material control, and arbitrary Python code execution directly within the Blender environment.
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    MIT
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    Enables AI-driven frontend component design and code generation from natural language requirements. Supports Vue, React, and Angular with intelligent component decomposition, API design, and complete project generation.
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    A comprehensive TypeScript boilerplate MCP server featuring domain-driven design and dynamic component loading. Provides example tools for calculations and text processing, system resources, and writing assistance prompts.
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    MIT
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    A Model Context Protocol server that integrates Figma design files with AI coding tools like Cursor, Windsurf, and Cline, allowing AI tools to access and understand Figma design data for generating more accurate code.
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    A comprehensive Model Context Protocol (MCP) server that provides 37+ intelligent development tools across JavaScript/TypeScript, Rust, and Python with security-first design and high-performance features.
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    MIT
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    A robot battle prototype that enables users to design, validate, and simulate AI combat scripts through an MCP-integrated consultative workflow. It allows AI agents to guide tactical design, perform DSL script verification, and conduct preview duels before final deployment to Firebase.
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    Enables Claude AI to directly interact with and control Blender for rapid, natural language-based 3D modeling. Supports parametric design and relational design through direct Blender integration.
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    Provides structured spec-driven development workflow tools for AI-assisted software development with sequential spec creation (Requirements → Design → Tasks). Features a real-time web dashboard for monitoring project progress and managing development workflows.
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    GPL 3.0
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    Provides AI assistants with a complete FPGA toolchain for HDL linting, simulation, synthesis, and place-and-route across various hardware targets. It features a GitHub-backed IP core registry that enables users to search for and import MIT-licensed cores directly through their chat interface.
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    Design and simulate wire antennas using the NEC2 method-of-moments solver via MCP. Supports dipole, Yagi-Uda, vertical, loop, and inverted-V geometries with pattern, impedance, and VSWR analysis.
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    AGPL 3.0