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Open-source memory layer for AI agents and assistants that extracts, stores, and retrieves user, session, and agent memories so applications can personalize and remember across interactions, with Python and TypeScript SDKs and pluggable vector, graph, and key-value stores.

Hyperbrowser's MCP server for AI agents that need hosted browser scraping, crawling, structured extraction, Bing search, persistent browser profiles, and browser-use, OpenAI CUA, or Claude computer-use browser agents.

Agent Skills for Obsidian by Steph Ango, teaching Claude Code, Codex, OpenCode, and skills-compatible agents to work with Obsidian Flavored Markdown, Bases, JSON Canvas, Obsidian CLI, vaults, plugins, themes, and Defuddle-powered web-to-markdown extraction.

Scrape any website, extract structured data, and search Google and Amazon from Claude — with the official Oxylabs MCP server providing universal web scraping with JS rendering, CAPTCHA bypass, AI-powered data extraction, and AI browser automation in one tool.

Official Kagi MCP server that gives Claude web, news, video, podcast, image, and page-extraction tools backed by the Kagi Search and Extract APIs.

Document intelligence MCP server for extracting text, metadata, OCR output, structured data, embeddings, chunks, cache state, and supported-format information from PDFs, Office files, images, code, and many other formats.

MCP server that unifies web search, AI answer, GitHub search, and web extraction providers including Tavily, Brave, Kagi, Exa, Linkup, Firecrawl, and GitHub behind four consolidated tools.

PDF-focused MCP server that lets Claude read one or more local or remote PDFs, extract full text, page ranges, metadata, page counts, embedded images, and table-like structures.

Local-first MCP server for web scraping, crawling, URL mapping, batch extraction, structured extraction, summarization, diffing, brand extraction, and optional hosted API fallback for bot-protected pages.

Official Firecrawl MCP server for scraping, crawling, mapping, searching, and extracting web content through Claude Code, Claude Desktop, Cursor, VS Code, Windsurf, and other MCP clients.

Official Tavily MCP server that gives Claude agent-optimized web search and page extraction, returning concise, source-cited results designed for LLM reasoning rather than raw search engine pages.

Open-source, LLM-friendly Python web crawler and scraper that turns web pages into clean, LLM-ready Markdown for RAG, agents, and data pipelines, with an async browser pool, caching, structured extraction, and adaptive deep crawling.

AgentQL MCP server for extracting structured JSON from public webpages using a URL and natural-language extraction prompt.

MCP server for extracting design systems from live websites, including design tokens, regions, components, contrast data, Tailwind themes, Figma variables, and prompt packs.

Open-source Python library for structured LLM outputs using Pydantic response models, validation, retries, streaming, and provider adapters.

Agent Skills and plugin packs for Google Stitch design workflows, including code-to-design, design generation, design-system extraction, React and React Native conversion, shadcn/ui guidance, Remotion walkthroughs, and prompt enhancement.

MCP server for parsing Korean HWP, HWPX, HWPML, PDF, XLSX, and DOCX files into Markdown, with tools for metadata extraction, page ranges, tables, document diffs, form extraction, and HWPX form filling.

Browser automation MCP server that lets AI agents control cloud browser sessions through Browserbase and Stagehand for navigation, actions, observation, and extraction.

No-key multi-engine MCP server, CLI, and local daemon for web search and public web content retrieval across engines such as Bing, DuckDuckGo, Brave, Exa, Baidu, CSDN, Juejin, Startpage, and Sogou.

MCP server for Scrapling web scraping workflows, including HTTP scraping, browser-backed dynamic fetching, stealth fetching, screenshots, persistent browser sessions, selectors, proxies, and prompt-injection sanitization.

Web scraping and crawling API for turning websites into clean markdown, structured data, and LLM-ready content.