"Information on Rag and Memory" matching MCP servers:

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

MyChart MCP Server

Enables interaction with Google Chrome tabs through the MCP protocol, allowing clients to retrieve information and control tabs on macOS using AppleScript.

An all-in-one MCP server for local LLMs that provides live web access, math, shell/code execution, filesystem access, memory, and RAG over local files using LM Studio embeddings.

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

Enables AI agents to search the web with clean page text, crawl websites into Markdown, extract articles and structured data, and monitor Google News and press releases for LLM context and RAG pipelines. It works with MCP clients and uses the user's own Apify API token for pay-per-result data retrieval.

Provides Bing Chinese search and webpage crawling tools, enabling AI assistants to fetch real-time web information without API keys.

Fetches web content and returns relevant chunks using RAG with semantic chunking, query-based scoring, and LexRank, supporting PDFs and 50+ languages.

Automates the React Native Upgrade Helper website to extract upgrade information and file diffs between React Native versions.

A lightweight, stateless MCP server utilizing Puppeteer for web searches, returning structured JSON results, easily integratable with other MCP-enabled systems.

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.

426+ MCP tools for macOS, all on-device — local AI inference (llama.cpp on Metal), voice, vision OCR, local RAG, browser automation, and ~140 system actions across 26 macOS domains. Nothing leaves your Mac.

MCP server that gives AI agents a durable identity, persistent browser, memory, and coordination tools, enabling them to maintain state across sessions and act on the live web.

Crawl4AI MCP Server is an intelligent information retrieval server offering robust search capabilities and LLM-optimized web content understanding, utilizing multi-engine search and intelligent content extraction to efficiently gather and comprehend internet information.

A stateless MCP server that provides a configurable HTTP client tool for LLM agents, supporting custom methods, headers, bodies, timeouts, redirects, response size limits, DNS overrides, and TLS verification.

Provides AI agents and assistants with advanced web crawling and RAG capabilities, enabling them to scrape websites and perform semantic search over crawled content.

A high-performance MCP server for browser automation via Chrome DevTools Protocol, enabling fast, low-cost, and anti-bot web interactions.

Provides AI agents with complete web search, crawling, and RAG capabilities through a Docker-based solution combining Model Context Protocol, Crawl4AI, SearXNG, and Supabase.

A memory server that manages a knowledge graph with entities and relations, supports internet search via DuckDuckGo, and stores dialogue history, enabling persistent memory and web interaction for AI assistants.

Enables local-first ingestion of Douyin links, favorites, and public Bilibili videos into Markdown, timestamped transcripts, OCR, visual assets, and deduplicated indexes for downstream RAG workflows.