"X" matching MCP servers:

Enables AI assistants to generate and validate 30+ UML and other diagram types (Mermaid, D2, Graphviz, BPMN, C4, and more) through the Model Context Protocol, returning rendered SVG, PNG, PDF, JPEG, or base64 output via Kroki, PlantUML, and Mermaid backends.

Provides UI architecture analysis for converting Figma designs or web pages into reusable UI code blocks with effort estimation in CSV format.

Transforms basic interface ideas into comprehensive, professional-grade UI/UX design specifications with detailed styling, animations, components, and accessibility requirements for websites, apps, and other digital interfaces.

An MCP server for Electronic Design Automation that provides comprehensive tools for managing KiCad 9.x PCB design workflows. It enables users to create schematics, layout PCBs, perform design rule checks, and export manufacturing files through a standardized interface.

Enables AI assistants to control Cadence Xcelium and SimVision simulators in real time for automated RTL and gate-level debugging. It provides 25 tools for signal inspection, watchpoints, binary search, and simulation state management.

MCP server that enables AI assistants to create, parse, render, and validate Draw.io diagrams programmatically.

Enables controlling a local Scilab/Xcos installation to discover installed block libraries, create native block templates, read, write, and validate diagrams, and run simulations of arbitrary positive duration that return named numerical signal series. It exposes these capabilities as MCP tools over stdio or streamable HTTP, with model file access restricted to configured filesystem roots.

An MCP server that enables users to generate structured XMind mind maps with hierarchical topics, notes, and labels through natural language. It features automatic file saving to the local Documents folder and can automatically open generated maps in the XMind application.

Enables AI agents to record and retrieve architectural decision records, check precedent before making decisions, and avoid repeating past mistakes or contradicting settled choices.

Architecture-index MCP tools for kernelee apps that combine static analysis and runtime wiring into a JSON index, enabling coding agents to query control flow and dependencies via the Model Context Protocol.

MCP server that analyzes codebases to provide dependency graphs, impact analysis, and file insights across 15+ programming languages, enabling AI assistants to understand project structure and navigate code efficiently.

Enables rendering of diagrams (sequence, flowchart, ER, cloud architecture, etc.) using the Eraser.io API with customizable themes, backgrounds, and scaling options. Returns image URLs or base64-encoded content with built-in icon validation.

Analyzes C++ source code to automatically generate UML class diagrams in PlantUML format, extracting classes, inheritance relationships, and member visibility from directories or file contents.

Converts quantum circuits into ZX-diagrams using categorical quantum mechanics, enabling circuit visualization, analysis, and optimization through deterministic gate mapping and rewrite rules.

Cross-stack MCP server that scans frontend and backend code together, detects mismatches like phantom calls, dead endpoints, and field drift, and provides a full-stack health audit.

Provides a semantic understanding of your codebase by parsing with tree-sitter and building a graph of symbols and dependencies. Enables AI assistants to navigate code, analyze changes, and discover architecture using 18 tools with minimal context overhead.

Enforces a rigorous spec-driven engineering workflow for AI coding assistants, requiring requirements, design, and task planning before any code is written.

This MCP server enables AI models to analyze local Python codebases using abstract syntax trees, providing tools for file structure analysis, symbol search, import graphing, docstring auditing, and refactoring prompts without loading entire source files into context.