"CTS" matching MCP servers:

This server integrates with Mozilla Developer Network (MDN) documentation to suggest CSS properties, check browser support, and provide implementation guidance with user consent mechanisms.

Exposes the AKIJ Resources Compliance Management System knowledge base, including Bangladesh legal risks and multi-tier compliance resolution, enabling compliance checks, risk lookup, and coverage gap reporting.

An MCP server that converts GitHub repositories and documentation sites into token-counted, searchable context blobs for AI agents, with tools like pack_repo, search_context, and pack_docs.

Provides tools to slice documentation by headers, append git-verified session entries, and retrieve the current phase to manage context for AI coding agents.

Enables CSS analysis with 150+ metrics, MDN documentation retrieval, and browser compatibility checks for CSS properties.

Provides up-to-date CSS documentation and browser compatibility data from MDN through natural language queries. Features intelligent caching and supports all CSS properties, selectors, functions, and concepts with automatic normalization.

Answers what CSS you can ship today using live Baseline and MDN browser-compat-data, with tools for searching features, checking exact browser support, and auditing stylesheets.

Enables AI agents to search and read 1C:ITS portal subscription materials, such as development standards, platform documentation, and configuration guides, returning content as Markdown with source links.

A dataless MCP server that searches the SAP CDS knowledge base, allowing users to query view metadata and retrieve full view details using local or remote data sources.

A comprehensive suite of Model Context Protocol servers designed to extend AI agent Claude's capabilities with integrations for knowledge management, reasoning, advanced search, news access, and workspace tools.

Enables AI assistants to access Macroforge documentation, validate TypeScript code with @derive decorators, expand macros, and retrieve macro documentation.

MCP server that serves an LLM operational constitution (SWEBOK v4.0 and NASA Power of 10) to coding agents, providing tools to query constitution sections, knowledge areas, and verification gates, and a scanner that detects placeholder/scaffold violations in generated code.

Enables AI coding agents to fetch live MDN Web Docs pages, TypeScript handbook content, and npm package metadata as clean markdown, with local search, caching, and polite throttling.

An MCP server providing comprehensive HubSpot CMS development documentation, enabling users to get contextual information about building HubSpot websites through natural language.

Enables an MCP client to query a token-driven SCSS design system out of the box, with no manual SDK or zod install step, exposing 30 tools covering themes, mixins, functions, tokens, animations, components, recipes, doc readers, size resolution, and prompt assembly. It resolves that data directly from the installed css-is-awesome package, so answers always match the version the user actually has.

Enables MCP clients to browse a local skill library, retrieve individual skill instructions and files, route task queries via Jev, and report completion activity.

Connects Claude to Total CMS sites, enabling search, browsing, and management of content via the site's built-in MCP server. Supports both public and authenticated access using an API key stored securely.

Enables searching and fetching Claude and Anthropic documentation with intelligent relevance scoring, optimized for MCP development, APIs, and examples.

Enables access to articles from alayman.io, allowing users to fetch, search, and filter technical content through natural language. It supports pagination and keyword-based filtering for specific topics like React, Angular, and TypeScript.

Enables AI models to access GitHub repository information and search local documentation files. Provides three basic tools: fetching repository details, retrieving file contents from GitHub, and searching through local markdown documentation.