"Finding the Best Tool for Memory Context Across Agentic Sessions Using Augment Code" matching MCP servers:

Enables fetching weather forecasts for the USA via NWS API and for Israel via browser automation using Playwright.

Provides live web and document intelligence, including search, company news, scraping, crawling, structured extraction, document parsing, brand intelligence, screenshots, website monitoring, and batch jobs.

Enables agents to control a real Chromium browser with semantic tools, providing compact observations and outcome-verified actions for web interaction tasks.

Provides agents with tools to score a page's AI readiness, check which AI crawlers robots.txt blocks, and assess passage citability—all performed locally.

Enables AI agents to control your installed Google Chrome through MCP or HTTP using compact text snapshots, exact pixel coordinates, and a visible cursor. It provides browser tools for navigation, clicking, typing, scrolling, tabs, forms, waiting, recording, and human handoff.

Lets many AI agent sessions share one real logged-in browser, each with its own tab group, using standard Playwright MCP tools.

A Playwright-based browser automation tool for AI agents, enabling web search, navigation, scraping, and page interaction through the Model Context Protocol.

Enables browser automation (navigate, screenshot, click, type, etc.) for Claude Code via MCP protocol, with a Chrome extension for configuration.

A Model Context Protocol server that provides real-time web search capabilities to AI assistants through pluggable search providers, currently integrated with the Brave Search API.

An MCP server that fetches web pages and extracts clean, AI-usable context from them, enabling tools for link discovery, content search, and integrated fetch-and-search operations.

Enables MCP clients to automate a real Chrome browser via Playwright, supporting session sharing and tools for navigation, clicking, typing, and more.

A CDP-native MCP server that lets AI agents drive a real Chrome browser with deep network/console inspection, robust page interaction, and the ability to reverse-engineer a site's API flow into runnable code with dependency chaining and replay verification.

Enables AI agents to drive real Google Chrome with stealth and captcha handling, using Patchright to avoid bot detection.

Enables ZCode to control a real Chrome browser, including tabs, navigation, page content, clicks, form filling, keyboard input, scrolling, screenshots, and JavaScript evaluation through a local MCP bridge.

Enables multiple agents to share a single Chrome browser with isolated tabs and shared sessions, allowing coordinated browsing and automation.

Enables AI agents to pull deterministic, traceable numbers about Adobe Stock supply, seasonality, keyword demand and the contributor's own portfolio and Adobe accept/reject outcomes. It also supports upload staging and metadata application on the portal for a verified plan, while never clicking Submit or Delete.

Enables a person to point their own AI agent at specific on-screen app elements over MCP, letting the agent read the underlying data without sharing the screen or receiving visible content.

Enables an AI agent to observe, plan, and act inside a real browser session by exposing navigation, snapshot, click, type, and screenshot MCP tools over local JSON-RPC and SSE. It runs a Playwright-backed browser in-process and provides stable element references for reliable actions.

Enables searching GitHub repositories, fetching readable web page text, and querying a local book database through MCP tool calls.

Enables MCP-compatible AI agents to inspect, read, close, deduplicate, group, and consolidate live Chromium browser tabs through a secure local bridge, with safety checks and no need for its own AI model or API key.