"Information on Rag and Memory" matching MCP servers:

Implementation of an MCP server for the RAG Web Browser Actor. This Actor serves as a web browser for large language models (LLMs) and RAG pipelines, similar to a web search in ChatGPT.

Provides web crawling and RAG capabilities for AI agents, enabling scraping of websites, storing content in a vector database (Supabase), and performing semantic search over crawled data.

Web crawling and RAG implementation that enables AI agents to scrape websites and perform semantic search over the crawled content, storing everything in Supabase for persistent knowledge retrieval.

Enables semantic search and retrieval-augmented generation (RAG) using Qdrant vector database. Supports indexing documents from URLs and local directories, with flexible embedding options using Ollama or OpenAI.

Enables finding information online, reading web pages, finding images, capturing screenshots, and performing multi-source research with per-answer confidence.

MCP server that fetches ServiceNow Community events for a date range and returns them as structured data, optionally writing a CSV. No login or credentials required.

Extract YouTube transcripts for AI agents, RAG pipelines, and LLM workflows. Supports any YouTube URL. Returns clean text or timestamped segments. No API keys required.

Complete Vinted MCP and CLI Server

Enables converting web pages to clean Markdown via MCP, compressing token usage by roughly 95% in under 150ms to support LLM context windows and RAG pipelines.

Enables Claude to scrape, crawl, extract data, and sync to vector databases using scrapedatshi's RAG pipeline, with support for multiple embedding and vector DB providers.

Provides AI access to Korea's land use planning, urban regulations, and permit information through natural language queries. It integrates tools for land analysis, regulation verification, and public notice scraping to prevent hallucinations in property-related AI applications.

MCP server for Mongolia's largest online classifieds platform unegui.mn, enabling AI assistants to search and retrieve listings for cars, real estate, electronics, jobs, and more with detailed information, primarily in Mongolian while supporting English queries.

An enterprise-grade Model Context Protocol server for high-performance web analysis that discovers subpages, provides AI-based page summaries, and extracts structured content for RAG using FastMCP and FastAPI.

Enables searching products, viewing orders, and analyzing order trends on Amazon.in via a persistent Playwright browser session.

Enables users to retrieve and structure shipment tracking information from DB Schenker's website using natural language queries.

Crawls Korean stock market data from Naver Finance, providing real-time information on top searched stocks and detailed stock information by stock code.

Enables AI clients to search live documentation for popular developer libraries and return clean, source-cited summaries via a RAG pipeline.

Scrapes, indexes, and serves Salesforce Architect documentation locally, enabling fast offline RAG-powered search and retrieval for AI coding assistants.

An MCP-native pipeline for collecting structured intelligence on higher education institutions using the WHED schema, enabling scraping, extraction, validation, and saving of profiles.

MCP server providing tools for web scraping, browser automation, computer vision, audio transcription, and RAG via API.