Provides AI coding assistants with on-demand access to component specs, test scenarios, accessibility requirements, and build guides from the Web UI Component Specification.
Connects AI agents with Swagger/Knife4j API documentation, enabling real-time retrieval, search, and structured understanding of API interfaces, parameters, and schemas.
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.
High-performance code understanding toolkit that enables batch reading of multiple files with dependency context, structural outline extraction with Java annotation awareness, and precise location of classes/methods across large codebases.
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.
This server crawls documentation sites and provides search and page-retrieval tools through MCP, enabling users to query indexed documentation content.
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.
Assists AI coding agents in understanding and implementing UTCP by providing documentation search, manual validation, code generation, OpenAPI conversion, and an LLM-powered expert agent.
Provides comprehensive access to WCAG 2.2 accessibility guidelines, including all 87 success criteria with full Understanding documentation, 400+ techniques, glossary terms, and ACT test rules from official W3C data.
Enables web page scraping via Jina reader API and searching FastMCP documentation using minsearch. Supports fetching markdown content from URLs and querying indexed documentation files.
A self-hosted MCP server that crawls, indexes, and searches documentation from any website locally, including private sites requiring authentication. It provides hybrid search capabilities and local embedding generation to maintain privacy while keeping AI assistant knowledge up to date.
Enables searching and summarizing MDN Web Docs documentation directly from MCP-compatible clients. Allows developers to quickly retrieve concise documentation summaries for web technologies without leaving their workflow.