"Popular and Secure Servers with High User Ratings" matching MCP servers:

Fetches and analyzes Google Maps review ratings with a full star-by-star breakdown (★1–★5) and provides an assessment of rating patterns.

Security-hardened MCP server that gives AI assistants full control over your real browser session, supporting 36 tools for navigation, data extraction, monitoring, and more.

An MCP server that gives AI clients controlled access to a real headless browser with domain allowlisting, SSRF protection, per-session isolation, audit logging, and persistent cookies/state across restarts.

An MCP server that enables LLMs to automate browser interactions using Playwright to fetch real-time Israeli weather data.

An MCP server that uses Google Gemini and Playwright to fetch current weather for Israeli cities, extracting data from live websites to answer queries in Hebrew or English.

Enables retrieval of YouTube video titles and transcripts/subtitles through an MCP interface backed by a headless Playwright browser, with optional persistent login/session and stdio or HTTP streaming transports.

Enables users to check Google organic, map pack, and local finder positions for keywords across specified locations, returning per keyword/location rows with ratings, competitors, and rank changes. It runs searches from each location via Apify and can track history with a state key.

An MCP server for integrating with the Brave Search API, and it supports HTTP proxying.

Complete Vinted MCP and CLI Server

mcp-fetch

Exposes Amazon Nova Act web automation capabilities through the Model Context Protocol, enabling AI agents to perform browser tasks like navigation, data extraction, and form interaction.

Enables Model Context Protocol tools for automating web browsers and Electron desktop applications using Playwright's accessibility tree snapshots. It supports window management and JavaScript execution in the main process, providing deterministic automation through structured data.

Turn your Chrome browser into an AI-powered automation tool, enabling browser control, content analysis, and semantic search via Model Context Protocol.

A tool that enables automated browser control using Pyppeteer within the MCP framework, allowing navigation, screenshot capture, and element interaction with websites.

Validates URLs and checks their reputation to help identify AI hallucinations and verify web page authenticity.

Classifies company sites as B2B or B2C and as SaaS, online store, agency, manufacturer, wholesaler, distributor, or marketplace, while matching your own buyer phrases and returning the quoted text and page as evidence. Runs deterministically on Apify, giving one row per domain with grace-free status rows for unreachable, blocked, or empty sites.

Enables users to search Reddit by keyword or subreddit, read thread URLs with comments, filter and sort results, and receive flat post and comment rows without needing a Reddit login or API key.

Enables querying Shopify App Store apps and Chrome Web Store extensions by category, keyword, or listing URL, returning ratings, reviews, pricing or user counts, and developer website, domain, address, and email. Filters by minimum rating or reviews and produces one row per listing ready for outreach or enrichment.

Enables users to convert a vendor partner directory (such as PartnerPage or the Shopify Partner Directory) or a trade body member list into one company row per listing, each carrying website, domain, tier, tags, and location for Clay-ready output. It runs the extraction on Apify, returning dataset rows for up to 20 directory URLs with optional deduping, detail enrichment, and a cost cap.

Enables discovery of a company's public feature board (Canny, Featurebase, Frill, UserVoice, Productboard) from its domain and retrieval of its most-voted requests with votes, status, comments, and the integrations customers ask for. Supports monitoring runs that surface only new requests, status changes, and vote jumps since a prior run using a saved state key.

Enables users to turn beats or topics into a ready media list by finding recent news articles, reading their bylines, and returning one row per journalist with name, outlet, author page, article count, latest article, and proof links. Runs the work on Apify and supports filters for date range, country, language, outlet domains, and minimum article counts.

Given a company domain or name, it checks ten app marketplaces — HubSpot, Salesforce AppExchange, Slack, Zapier, Shopify, Atlassian, Chrome Web Store, Microsoft, Google Workspace, and WordPress — to report where the company is listed, with each listing's URL, installs, rating, review count, and match confidence. Useful for competitive research and partner-ecosystem audits across many domains in a single run.

Give it a product and a country and it searches Google for manufacturers, wholesalers, and distributors, reads each candidate company's own website, and returns only the ones whose pages back up the claim, with quoted evidence, the domain, and a confidence score. Directories, marketplaces, and social networks are filtered out, and a free summary row reports how many sites were found and checked when nothing qualifies.

Enables monitoring Google News for companies, brands, people, or topics, returning one row per article with headline, outlet, date, publisher URL, and a headline sentiment label. Supports watch-list state keys so repeat calls surface only articles that haven't been returned before, with a free summary row explaining empty runs.

Enables users to pull portfolio company lists from Y Combinator, a16z, Sequoia, Accel, and other investors or any portfolio page URL, returning one row per company with name, domain, website, description, and stage or batch. Runs on Apify and produces Clay-ready output, with YC results filterable by batch, industry, region, status, and search terms.

Enables watching competitor Shopify, WooCommerce, and SaaS pricing and changelog pages, returning only what changed since the last run as price, stock, product, plan, and changelog diffs. Runs on Apify with per-event pricing and saved state keys for separate baselines.

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

A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.

📈 提供股票、加密货币的数据查询和分析功能MCP服务器

MCP server that enables LLMs to fetch weather forecasts for Israeli cities via Playwright browser automation and US weather alerts/forecasts via the NWS API.