"A guide for developing WeChat Mini Programs" matching MCP servers:

Provides comprehensive design principles and best practices to help LLMs generate modern, accessible web pages through guidance on layouts, colors, and typography. It enables users to review design approaches and access expert recommendations for responsive design, component structure, and current industry trends.

Translates natural language commands into structured geometric operations for a simulated CAD engine using LLMs. It enables users to create shapes, modify dimensions, and perform 3D operations like extrusion through the Model Context Protocol.

Enables AI agents to create and edit Whimsical diagrams and documents, including flowcharts, mind maps, sequence diagrams, and wireframes, and to search and read workspace content.

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

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

Cloud infrastructure provisioning via natural language. Enables deploying production-ready infrastructure on AWS, GCP, Azure, or Oracle with a single prompt.

An MCP server that recommends tech stacks for your project. Describe what you're building and get a recommended stack with reasoning, tradeoffs, and what each layer should use.

An MCP server designed for React Native and Expo development that provides specialized tools for project scaffolding, architectural best practices, and troubleshooting. It enables AI assistants to guide users through setup, navigation configuration, and CI/CD processes using modern stacks like NativeWind and Zustand.

A specialized architecture design MCP server that enables AI-assisted developers to plan optimal system structures through interactive consultations. It generates structured ARCHITECTURE.md and .ai-context.yaml files to guide AI coding tools in building scalable and cost-effective infrastructure.

A Model Context Protocol server that converts Mermaid diagram code into various image formats (PNG, JPG, SVG, PDF) with theme customization options for AI clients.

AI-assisted COBOL to modern stack bridge that parses COBOL programs, maps to Python/Java/Go, generates test harnesses, and plans migration for legacy mainframe modernization.

Enables interaction with IcePanel for architectural diagram management via MCP clients, such as Claude Desktop, Cursor, and Windsurf. Deprecated in favor of a remote MCP server.

Builds a semantic graph of codebases across 38 languages and exposes 42 MCP tools for structured code understanding, search, and impact analysis.

Provides AI agents with a live architecture model of a codebase, enabling queries for root cause analysis, blast radius, and dependency traversal through MCP tools.

An MCP server for code intelligence that maps source code into a knowledge graph, enabling AI tools to understand architecture and structure rather than just individual files.

A local-first MCP server for macOS that enables AI assistants to read and manage Apple Calendar events via EventKit, with configurable permissions, audit logging, and a native setup app.

Provides tools for creating, deleting, and querying nodes and edges in Excalidraw diagrams, enabling diagram editing via LLM interfaces.

Enables to create and edit Microsoft Visio diagrams programmatically via a standardized API.

A Model Context Protocol server for creating and managing draw.io diagrams with batch operations and rich node types.

Enables AI agents to programmatically access self-hosted Penpot instances to read, create, modify, and export design elements through natural language. It provides 66 tools for managing projects, shapes, design tokens, and comments using a dual-access strategy of direct database reads and RPC API writes.