"Enforcing Apple Brand Style Guidelines for Team Communication Drafts Without AI Style Learning" matching MCP servers:

Enables users to search and read verbatim passages from Terry Bouricius's book 'Democracy Without Politicians', honoring the author's request to display his actual words rather than AI summaries.

Provides AI coding agents with authoritative Medovia/ApoSuite brand guidelines, including colors, typography, and component specs, via tools and resources.

Provides professional C++ code style checking, best practices analysis, and modern C++ upgrade suggestions with tools for naming conventions, memory safety, const correctness, and access to comprehensive C++ style documentation.

Provides design system guidelines and component documentation to Cursor Desktop, enabling accurate advice on UI components, patterns, and best practices.

Gives MCP clients such as Claude Code, Claude Desktop and Cursor access to Slingshot's brand guides and design tokens, plus a colour check that flags on-brand values while they work. It exposes three tools — brand_guide, brand_tokens and check_colors — so an agent can apply the brand's rules to cases nobody wrote down.

Serves an editable folder of plain brand files—identity, colours, fonts, rules, formats and examples—to any AI tool over MCP, so generated designs and copy come out on-brand. It also checks HTML, CSS, SVG and text against those rules, and can read a public site's CSS to extract its real palette, fonts and spacing.

A professional MCP server for analyzing content against the official Microsoft Writing Style Guide, enabling style, grammar, terminology, and accessibility checks via AI tools like VS Code and GitHub Copilot.

Enables AI agents to subscribe to a deterministic daily ethics feed drawn from a four-module curriculum and retrieve read-only tools, resources, and reflection prompts covering principles, case studies, and codes of conduct.

Guides users to official WCAG and W3C resources for learning web accessibility, without providing its own explanations.

An MCP server for team documentation and knowledge bases, enabling semantic search over documentation files using local embeddings.

Search and retrieve information from Apple's complete developer documentation, including API references, code examples, and Human Interface Guidelines, across all Apple platforms and versions.

Enables offline, real-time search of Apple Developer Documentation from Xcode's local index, returning full text, code examples, availability, and framework listings without network calls.

Enables AI agents to search, retrieve, and navigate Apple's Human Interface Guidelines as live Markdown content across all Apple platforms.

Enables AI agents to search and retrieve Apple Developer Documentation instantly with symbol search, wildcard matching, and optional semantic embeddings.

Enables Claude Code users to search and read Apple Developer Documentation — frameworks, APIs, SwiftUI/UIKit symbols, Human Interface Guidelines, design resources, sample code, and WWDC session transcripts — directly in their session. It also retrieves code examples, platform compatibility, and related API information through Apple's documentation and search APIs.

Provides AI assistants with access to Apple's Human Interface Guidelines and technical API documentation across all Apple platforms (iOS, macOS, watchOS, tvOS, visionOS), enabling unified search of design principles and implementation details.

MCP server that exposes brand identity guidelines (visual look and voice) as markdown, enabling LLMs to produce on-brand content.

Enables searching an offline catalog of Apple Ads Platform API documentation and issuing authenticated read and write calls to manage App Store and Apple Maps campaigns, reports, keywords, budgets, and recommendations. Read and write are split into separate tools, with read-only mode, pagination merging, and large-report file output.

A minimal MCP server that enables searching through pre-scraped React documentation using a hybrid approach combining DuckDB full-text search and transformer-based reranking.

Provides AI agents with professional coding standards, development best practices, and context-aware guidance through static documentation and AI-powered custom recommendations. Enables agents to access comprehensive development guidelines including coding rules, debugging techniques, and AI steering instructions.