"A Python script for merging CSV text and PNG images" matching MCP servers:

Enables image search on Google Images with size, color, and type filters, returning up to 100 results per call including source pages and full-resolution URLs.

Enables extracting visible text and links from webpages for content analysis.

Enables downloading Amazon order history as CSV files with support for orders, items, shipments, and transactions across 16 Amazon regional sites using browser automation.

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

Enables fetching visible text content and extracting all links from web pages through URL requests. Designed specifically for LM Studio integration to provide web scraping capabilities.

Enables LLMs to automate browser tasks (navigation, clicks, text input) via Selenium through the Model Context Protocol.

An MCP server for fetching and transforming web content into various formats.

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.

An MCP server that provides browser automation with anti-detect fingerprinting, accessibility snapshots, and ref-based element targeting, powered by Camoufox.

A Model Context Protocol server that wraps RPA-Python to enable AI models to directly control browsers for web automation, supporting 54 tools for navigation, interaction, and data extraction.

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.

📈 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.

Controls a real Chrome browser to navigate web pages and extract text content with flexible options including CSS selectors, multiple text extraction types, and intelligent waiting mechanisms for dynamic content.

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.

Enables browser automation and web scraping through Playwright, supporting navigation, screenshots, element interaction, form filling, JavaScript execution, and content extraction.

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

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.