"Material Design Icons" matching MCP servers:

lucide-icons-mcp

Lets AI coding agents create, list, and edit chip-design project files over stdio with no network exposure, drawing on a pinned Docker toolchain with open-source simulators and layout tools. It spans digital RTL flows (Amaranth, MyHDL, Verilog with cocotb, Yosys, LibreLane), analog/RF design, and acoustic-filter modeling.

Bridges Claude Code and OpenAI Codex CLI for an interactive plan-execute-review workflow, enabling Claude to interview, design, and review while Codex implements code changes.

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

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.

Enables connecting Blender 3D to AI assistants via MCP, allowing prompt-driven 3D modeling, scene editing, and real-time manipulation. Supports object/material control, scene inspection, viewport screenshots, and integrations with Poly Haven, Sketchfab, and AI model generators.

Enables AI agents to generate dimensionally accurate mechanical parts (gears, enclosures, brackets, assemblies) in headless Blender from plain-English specs or JSON parameters, then verify them against manifold, bounding-box and print-production gates and export glTF/STL assets. It also scaffolds interactive Three.js CAD viewer pages with orbit controls, wireframe toggles and exploded-view scrubbing.

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.

Enables AI assistants to control Blender via MCP tools for scene manipulation, material assignment, rendering, and Python script execution.

Enables AI models to write, format, compile, lint, and structure modern Fortran code using best practices and industry design patterns.

Enables AI assistants to perform high-performance 3D CAD design, ultra-fast multi-view rendering, immutable versioned project management, and geometry/mesh verification for 3D printing on Windows.

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.

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.

LLM Driven Trading Platform Orchestration - Strategy Design, Research & Implementation

Enables AI agents to drive Autodesk Maya through semantic tools covering scene, object, material, animation, and rendering operations, paired with execute_python/execute_mel escape hatches and read-only resources. Also supports multi-instance routing, viewport capture for visual iteration, and asynchronous render job polling.

A lightweight server that provides curated, high-quality prompts for common development tasks like UI/UX design, project setup, and debugging to enhance AI-powered development workflows.

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.

A server that converts Figma designs into pseudo-code structures optimized for LLMs to understand design context, allowing easy extraction of visual elements and code-like representations from Figma files.

Enables AI-driven automation of CST Studio Suite for antenna design, RF/microwave simulation, and PCB layout, including geometry, materials, ports, solvers, results, optimization, and VBA script generation or direct execution.

A template for creating Model Context Protocol (MCP) servers in TypeScript, offering features like container-based dependency injection, a service-based architecture, and integration with the LLM CLI for architectural design feedback through natural language.

Facilitates spec-driven development workflows by providing structured prompts for generating requirements in EARS format, design documents, and implementation code following a systematic approach.

Enables LLM clients to query, transform, and create design data in design files through a plugin connection, supporting design-to-design, code-to-design, and design-to-code workflows.

Enables AI coding tools like Cursor to access Figma design files and metadata, allowing accurate one-shot implementation of designs in any framework by providing simplified layout and styling information from the Figma API.

Enables AI clients to execute editable-3D design programs, inspect their geometry, and replay or revise native project files through MCP tools.

Enables any MCP client to run Figma Plugin API scripts in an open Figma file, returning values, errors, design data, and screenshots without copying code into a plugin.

Gives AI-powered coding tools like Cursor, Windsurf, and Cline access to Figma design files, enabling more accurate code generation directly from Figma designs.

Enables AI agents to create and edit repo-stored design screens as plain JSON through a single JavaScript execute tool, rendering them as real HTML/CSS in a local view-only canvas.

Enables automation of Intel/Altera Quartus FPGA design flow including project management, compilation, simulation, timing analysis, and programming via Claude Code.

Connects an AI client to a locally running Blender instance via a local MCP server plus addon, exposing scene queries, viewport previews and renders, file import/export, and script execution so the model can author its own modeling and material scripts. Defaults to a compact 12-tool script-oriented profile, with an optional compatibility mode exposing the full tool set.

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.

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.

Enables compatible MCP AI tools to read, write, design windows, and run programs in the E-Language IDE.

Enables AI-powered computational design in Rhino/Grasshopper with ML-based automatic layout optimization, component clustering, performance prediction, and real-time code execution in running Rhino instances.

Integrates Dify AI API to provide code generation for Ant Design components, supporting both text and image inputs with stream processing capabilities.

Enables interactive mission design with NASA GMAT R2026a and GMAT-Qt through isolated workers, sampled results, transactional editing, saved projects, trade studies, and optional live desktop integration.

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.

Connects Claude to Cinema 4D so users can build and manipulate 3D scenes through natural-language prompts, including adding primitives, cameras, lights, materials, MoGraph cloners and dynamics, executing custom Python, and rendering preview images. It also provides Redshift material inspection and scene snapshot tools with support for C4D 2024 and 2025.

Connects Rhino3D to Claude AI via the Model Context Protocol, enabling AI-assisted 3D modeling and design workflows through direct control of Rhino's functionality.

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.

A secure MCP gateway for Termux that exposes filesystem, shell, and Termux:API tools over a local HTTP endpoint with admin controls, job management, and upstream support.