"Categorizing messages such as emails or system logs" matching MCP servers:

Turns Claude-style skill folders into MCP tools, resources, and prompts for discovering and using skills.

A Model Context Protocol server that exposes an airline design system as a queryable knowledge base, enabling AI to discover components, find components for use cases, and scaffold prototypes.

Provides structured instructions to Cursor for generating comprehensive system summaries of Node.js/TypeScript codebases.

Provides a real API for coding agents to look up design system components, props, and tokens, preventing guessed answers.

Provides AI agents with component documentation, usage examples, and design tokens from the WordPress Design System, enabling them to follow the latest design system guidance for creating user interfaces.

Model Context Protocol server exposing system prompt files and summaries.

An unofficial MCP server that gives AI assistants structured access to Italy's Design System .italia, including components, design tokens, usage guidelines, and GitHub issues, updated nightly.

Provides access to Appian's Aurora design system documentation via GitHub, enabling LLMs to query components, layouts, and patterns. It supports both public and internal repositories with features for keyword searching and detailed component guidance.

Enables AI agents to query a design system's components, tokens, icons, patterns, and usage or accessibility guidelines through standardized MCP tools, with pluggable adapters for different data sources.

Enables searching and fetching GOV.UK Design System guidance via locally-crawled SQLite FTS5 data, with tools like search, fetch, and version.

A fully automated system that analyzes Django REST Framework ViewSets to generate accurate OpenAPI 3.0 specification documentation without manual configuration.

The Wellx Design System MCP enables AI agents to access the single source of truth for Wellx design, including tokens, component specs, rules, and search, ensuring consistent design implementation across surfaces.

Enables coding agents to list, search, and read a curated Shopware developer and merchant knowledge base offline as plain Markdown files, without network access or an API key.

Lets AI agents search and read a folder of Markdown documentation at query time, exposing heading-level search, whole-page or section retrieval, and page listing as tools and resources over stdio or Streamable HTTP. Can run as a CLI, a hosted endpoint, or a library inside an existing Node or Next.js site.

Exposes design system component documentation to LLM clients via MCP, allowing listing and retrieving component contexts from Markdown files with YAML frontmatter.

Enables searching and retrieving regulations from the Hansung University regulation management system.

Enables AI agents to list, read and download the files attached to Gmail messages, extracting text from PDFs, Word, Excel, PowerPoint and plain-text files straight into context or saving them to disk. It runs locally with read-only Gmail access, so attachments can be summarised, checked or analysed without leaving the chat.

Queries Aurum design system components, tokens, icons, Figma node IDs, and changelog via LLM clients.

Enables AI coding agents to search public design-system catalogs and retrieve only the relevant tokens or sections for a chosen brand, so generated UI matches a specified visual style instead of generic AI output.

Connects a Zotero research library to AI assistants so users can search items by title, author, tag, collection, full text, or meaning, read metadata and PDF content, add annotations, and add or organize papers by DOI, URL, ISBN, or BibTeX. It works in local or web mode and is available both as an MCP server for chat apps and as a CLI plus agent skill for shell-based agents.