"Using Azure DevOps for Task Queries and Code Reviews" matching MCP servers:

Enables fetching Google Maps reviews and place info without authentication by using a mobile user-agent with Playwright.

MCP server that scrapes Yandex Maps business reviews and company info, exposing them to AI assistants via three tools. No API key required, uses headless browser.

Extracts Glassdoor employer reviews and returns them as structured JSON, usable as an MCP tool in AI agents.

Enables querying TrustRadius B2B software reviews to extract alternatives considered, feature-level ratings, pros/cons, and business outcomes for competitive intelligence.

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

Enables retrieval of Trustpilot reviews as structured JSON, including ratings, dates, replies, and company metrics, with MCP support for AI agents.

Enables fetching structured JSON reviews from G2 product pages, including ratings, pros/cons, reviewer details, and optional product metadata.

Gives Claude control of a real, headed Chromium browser via Playwright, enabling web navigation, clicking, typing, screenshots, and JavaScript evaluation.

Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.

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

Enables fetching a Google Maps contributor's review history as structured JSON, including reviewer profile and place details, for reputation research, reviewer vetting, and fraud detection.

An Operit-compatible adapter of the Exa MCP server, enabling web search, code search, and company research capabilities in AI assistants. It fixes MCP handshake compatibility issues, allowing tools like web_search_exa and web_fetch_exa to load and run reliably.

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.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

📈 提供股票、加密货币的数据查询和分析功能MCP服务器

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

Enables AI assistants to fetch, search, and organize menu information from For Five Coffee café. Provides access to complete menu data, category filtering, and item search capabilities through both MCP and REST API interfaces.

MCP server for AI agents -- fetch any URL with full JavaScript rendering (Playwright/Chromium) and convert to clean, token-efficient markdown. Works on React, Vue, Angular, and any JS-heavy page. Includes web search, batch fetching, binary file download, LRU cache, SSRF protection, and structured output.

Enables searching for upcoming academic conferences and events from WikiCFP by keywords, returning detailed information including dates, locations, submission deadlines, and related resources.

An authless Cloudflare Workers server that provides tools to scrape, analyze, and answer questions about websites using Cloudflare's Browser Rendering and AI capabilities.