"memory" matching MCP servers:

MCP server providing browser automation for AI agents, enabling actions like clicking and typing, structured data extraction, content validation, multi-step task execution, and memory enrichment from web pages.

MCP server for fetching, parsing, and managing RSS feeds. Features Fetch and parse RSS/Atom feeds In-memory caching with TTL Batch fetching of multiple feeds Monitor feeds for new items Search content across multiple feeds Extract and format feed content

Enables intelligent web document scraping and conversation memory management for Cursor IDE. Supports multi-level link crawling, automatic content extraction, and organized storage of conversations and technical documentation.

An MCP server based on Puppeteer and Chrome DevTools Protocol for advanced browser debugging, performance analysis, and memory detection. It enables users to inspect DOM elements, monitor console errors, capture screenshots, and perform heap snapshot analysis through persistent browser connections.

A Chrome DevTools Protocol MCP server that enables direct browser automation with auto-discovery of interactive elements, built-in action verification, and persistent site memory across sessions.

An MCP server for deep research that performs search, scraping, synthesis, fact-checking, and persistent memory, enabling users to conduct comprehensive research tasks via Claude.

Enables MCP clients to access Toolhouse's extensive library of tools, allowing AI assistants to perform actions like web scraping, memory management, and email sending through natural language commands.

Provides 20 essential tools including HTTP requests, web search, file I/O, shell commands, and persistent memory for any MCP client, with zero configuration required.

A local-first personal AI agent infrastructure that extends Claude Desktop with tools for Google services, web scraping, local memory, knowledge upload, and dynamic workflows via MCP.

250+ AI-powered MCP tools: research, write, code, translate, scrape, sentiment, vision, RAG, agent memory, marketplace, trading signals, and more. 15 models across 7 providers. Pay-per-use via API key or x402 USDC micropayments.

A semantic browser runtime for AI agents that replaces raw HTML with structured data and dynamic, page-specific tools. It features built-in site memory and automated bot detection bypass to enable efficient, self-healing web automation.