"A method for finding public WeChat accounts" matching MCP servers:

MCP server for reading WeChat public account articles by reusing authenticated browser sessions, handling captchas and rate limits.

Converts WeChat Official Account articles to clean Markdown with locally downloaded images, supporting single and batch operations via MCP tools.

A token-efficient MCP server for Chrome browser automation that uses direct CDP and accessibility-tree-based references for stable element selection across DOM changes.

Enables crawling WeChat Official Account articles via the mp.weixin.qq.com search interface, including account search, article listing, incremental crawling, and fetching articles as Markdown with local SQLite storage.

Enables searching WeChat official account articles through Sogou WeChat search and fetching full article content via MCP, with anti-scraping handling and paginated search support.

Enables AI agents to crawl, access, and analyze WeChat Official Account articles using Selenium and the Model Context Protocol. It provides specialized tools for dynamic content retrieval, image processing, and automated article analysis.

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 AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

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

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.

Reads public Telegram channel pages and exposes them as MCP tools over Streamable HTTP/JSON-RPC, enabling retrieval of channel info, latest posts, and search without Telegram API credentials.

Enables parsing and extracting content from WeChat public account articles using browser simulation, supporting multiple output formats (JSON, Markdown, HTML) and media resource extraction.

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

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.

Enables fetching, searching, and summarizing WeChat public account articles through browser automation. Supports multiple output formats and provides article metadata and statistics.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

Enables web search capabilities via a SearXNG instance, allowing for filtered searches across categories like news, images, and science. It supports multi-language queries, time-range filtering, and safe search options to provide formatted results with metadata.

TypeScript implementation of an MCP server that provides tools for web crawling, content extraction, and browser automation, enabling AI systems to access and process web content through 15 specialized tools.

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.