"PlayStation 3" 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 AI assistants to inspect, audit and document Sonatype Nexus Repository 3 through read-only tools covering repositories, blob stores, tasks, cleanup policies, security objects and drift checks, with write and raw REST tools only when explicitly enabled.

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.

MCP server exposing 3100+ cloud technology icons (AWS, Azure, GCP, Microsoft, CNCF, Devicon) with 3-tier search and multiple output formats for integration into presentations and architecture diagrams.

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

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.

A standalone stdio MCP server that exposes 13 resources, 3 prompts and 7 tools for assembling interactive, replayable HTML interfaces such as calculators, charts, maps, flowcharts and small apps. It returns the generated HTML document for the calling client to decide whether and how to display.

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.

Generates technical documentation and diagrams (C4, UML, flowcharts, Gantt, etc.) using MCP protocol, with Docker-based tooling and optional AI image generation via DALL-E 3.

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.

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.

MCP server that parses source code into a graph of symbols and relationships, enabling code structure visualization and blast radius analysis via interactive 3D force-graph.

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.