"The official Python standard library documentation" matching MCP servers:

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

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

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.

Enables AI-powered LinkedIn automation, including content generation, profile and company data extraction, connection requests, and post scraping through MCP tools.

A Python implementation of an MCP server for Xiaohongshu that enables AI models to browse feeds, search content, and manage interactions like liking or commenting. It leverages Playwright for browser automation to support account management and content publishing features.

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

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

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.

Enables LLMs to read, query, search, and manipulate a live schematic or PCB canvas in the browser, including retrieving the active document, searching the LCSC parts database, and placing components, drawing wires, and updating net names. Bridges an MCP client to the editor via a WebSocket extension so changes appear in real time.

Enables AI assistants to access real-time web data through search, markdown scraping, and browser automation while bypassing anti-bot protections. It provides tools for web research, e-commerce monitoring, and data extraction from across the globe.

Tavily MCP Server implementation that uses fastmcp and supports both sse and stdio transports. It also supports more up to date functionalities of Tavily.

An MCP server that turns your Sell The Trend account into an AI-drivable product-research engine and generates detailed, decision-ready PDF dossiers for any niche.

An MCP server for safe web crawling and scraping of public and authenticated sites using Playwright and Crawlee. It provides tools for scraping single pages, crawling entire sites, validating sessions, and listing supported sites, with built-in security protections and adapter-based extensibility.

Exposes 17 scraping tools over stdio or SSE so an LLM agent can fetch pages, extract structured data, run full crawls, and take screenshots entirely through conversation. Works with Claude Code, Claude Desktop, Cursor, Windsurf, ChatGPT, LangChain, and the OpenAI Agents SDK.

A Python server implementing the Model Context Protocol that exposes tools for querying external APIs, compatible with Claude Desktop and ChatGPT Desktop.

Enables AI coding agents to diagnose and repair Python Selenium UI automation using real evidence from live DOM and test runs, with enforced safety boundaries and verifiable fixes.

Enables browser automation with anti-detection features, including navigation, interaction, form filling, and session management.

MCP server for FlashID client that lets AI agents manage browser profiles, proxies, and folders, and control browser automation endpoints via natural language.

An enhanced browser automation MCP server that solves token limit issues through intelligent semantic compression, enabling universal web automation with context-aware snapshot modes.

A MCP server that provides browser automation tools, allowing users to navigate websites, take screenshots, click elements, fill forms, and execute JavaScript through Playwright.