"Semantic Web" matching MCP servers:

MCP server for searching web documentation via sitemap.xml, enabling semantic search across multiple documentation sites using Ollama embeddings.

Enables querying VertiGIS Studio Web documentation through exact symbol lookup, semantic search, and document retrieval.

Indexes your project's markdown documentation and exposes it to AI agents via local hybrid search (lexical + semantic) with progressive disclosure tools.

MCP server providing browser compatibility data for the entire Web Platform.

Provides AI coding assistants with on-demand access to component specs, test scenarios, accessibility requirements, and build guides from the Web UI Component Specification.

Access to 819+ documentation sources from devdocs.io with semantic search capabilities.

Enables intelligent navigation and extraction of documentation from websites, allowing Amazon Q to automatically discover relevant pages, extract clean content, and retrieve code examples from web documentation.

A local-first MCP server for web search and documentation fetching, providing free DuckDuckGo search, URL-to-markdown conversion, and library docs from npm, PyPI, crates.io, Go, and GitHub with caching.

MCP server that provides UI5 Web Components documentation and integration guides for AI assistants.

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

Provides direct access to 200M+ academic papers from Semantic Scholar, enabling paper search with advanced filters, author discovery, citation analysis, and AI-powered paper recommendations through natural language.

Enables access to the Semantic Scholar Academic Graph API for searching and retrieving detailed information about academic papers, authors, citations, and references.

MCP server for managing product documentation as markdown files. Supports creating, reading, updating, deleting, and searching docs with optional semantic search.

Web search, content extraction, and library docs for AI agents with 5-strategy scraping and runs without API keys.

Enables semantic search over local markdown documentation by indexing files and ranking results using vector similarity and BM25 fusion.

MCP Server for accessing W3C/WHATWG/IETF web specifications. Provides AI assistants with access to official web standards data including specifications, WebIDL definitions, CSS properties, and HTML elements.

Enables retrieval and cleaning of official documentation content for popular AI/Python libraries (uv, langchain, openai, llama-index) through web scraping and LLM-powered content extraction. Uses Serper API for search and Groq API to clean HTML into readable text with source attribution.

A version-aware cache for web research that stores and serves documentation references, preventing models from re-researching the same topics across sessions.

Converts various file types (PDF, images, audio, DOCX, XLSX, PPTX) and web content (YouTube videos, web pages, Bing search results) into Markdown format for easy reading and sharing.

Enables Claude to read, navigate, and search a public Notion site for web-development assignments by year, including subpages, databases, images, external links, and full-text search.