"PlayStation 2" matching MCP servers:

一个带有产品经理思维的 AI 建站策划工具。用户通过多轮对话澄清需求后，一键生成结构化的网站策划书，并自动输出三大 Mermaid 架构图（功能脑图、系统架构图、核心业务时序图）。同时支持按页生成现代风格的静态 HTML 概念稿。

Enables rendering, validation, formatting, and inspection of D2 diagrams via the Model Context Protocol, using WASM for rendering without requiring the d2 binary.

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.

Enables encoding Mermaid diagram source into reversible share tokens and links for an explicit destination, and decoding tokens, fragments, or share URLs back to their original source and optional config data. Runs as a local stdio tool that only serializes text, without rendering diagrams, validating syntax, or fetching URLs.

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

Enables scanning repositories for hardcoded service URLs and clients, and building service-to-service API dependency maps.

An MCP server that enables AI agents to manage STAR-pattern architecture diagrams, creating, updating, listing, and building interactive viewers via tool calls.

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

Enables managing Architecture Decision Records by showing the ADR directory, listing existing ADR files, and generating new ADR markdown stubs via natural language.

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

We built a hosted MCP server that gives AI agents two capabilities through a single connection: 1. img-forge — Image generation across 5 quality tiers (SDXL Lightning to Gemini 3.1 Flash). One tool call, 5-30 seconds, done. 2. Stackbilder — Full-stack architecture scaffolding. Describe a product, get a 6-mode pipeline (Product → UX → Risk → Architect → TDD → Sprint)

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.

Builds structured diagram scenes from ordered nodes, edges and text, then validates their geometry, styles and connector references. Exports the result as native editable Draw.io XML nodes with attached connectors instead of a flattened screenshot.

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.

Enables AI assistants to create, validate, render, export, save, and incrementally edit D2 diagrams using complete source or the Oracle API, with bundled layouts, themes, and workspace-secured assets.

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.

Enables AI assistants to compile, validate, and explore D2 diagrams using the official D2 WASM package. It provides tools for generating SVGs with custom layouts, themes, and icons directly from D2 source code.

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.