"List of Servers Running as Docker Containers" matching MCP servers:

Enables exporting Apple Safari Reading List entries to JSON and adding new items via MCP on macOS.

Enables AI coding assistants to control a persistent Chrome browser through DevTools Protocol. Supports web navigation, screenshots, element interaction, mobile testing, console logs, and network debugging in a stable Docker environment.

A workspace of six MCP servers—grounded-cv (hybrid RAG with citations), repo-intel (GitHub repo intelligence), web-research (safe web search/extraction), ats-jobs (unified ATS job boards), outcome-ledger (durable task ledger), and coding-workflows (code review & planning)—purpose-built for agentic hiring evaluations.

Enables AI assistants to list, search, add, update, remove, restore, and export the user's Chrome reading-list items through local extension-backed tools, with backups for deletions.

A model context protocol server for Deepin Linux, providing system control, file management, web search, browser automation, and Git operations.

Fetches web pages and converts them to clean, readable markdown format by extracting main content while removing navigation, ads, and other non-essential elements to minimize token usage.

Exposes the Tier Maker List browser editing workflows, local processing boundaries, FAQ, and official links to MCP-compatible AI clients like Claude Desktop and Cursor. Read-only, no API keys, ~50 ms cold start.

Converts any webpage URL to clean, well-formed Markdown with title and H1 preservation, URL validation, and graceful fallbacks. One of 16 single-purpose servers in an open-source monorepo with full CI/CD to PyPI.

Enables fetching and processing web content with advanced features including batch processing of up to 20 URLs, streaming support, metadata extraction, and multiple output formats (HTML, Markdown, plain text) with enterprise-grade security and global edge performance.

MyChart MCP Server

Kagi search API integration

A Playwright-based tool that performs Google searches and extracts results while bypassing anti-bot mechanisms, providing real-time search capabilities for AI assistants.

Extracts brand identity (colors, typography, spacing) from any website and generates HTML/CSS replicas or applies branding to templates.

Enables AI agents to control a stealthy browser via the Model Context Protocol, supporting navigation, screenshots, clicking, typing, and more.

Transforms Claude into a persistent intelligence layer with automatic checkpointing, crash recovery, semantic memory, and cross-project learning. It provides 128+ tools for session management, adversarial testing, and browser automation to eliminate state loss and context rebuild costs.

An MCP server that enables AI agents to execute real-world actions through 10 specialized engines covering authenticated API calls, browser automation, visual QA, shell commands, file operations, job scraping, and parallel task execution.

AI-controlled browser farm — run N isolated Chromium instances with 36 MCP tools for device emulation, screenshots, network/geolocation simulation, and diagnostics. Cross-platform: Windows GUI + headed/headless on Linux/macOS.

Enables AI agents and assistants to extract data from social media, search engines, maps, e-commerce sites, and any other website by running thousands of ready-made scrapers, crawlers, and automation tools as callable tools, with OAuth-based connection and optional agentic payments.

Enables reading web pages and PDFs as clean Markdown, extracting main content and letting agents query for relevant passages, outline sections, search in-page, and list links while respecting robots.txt and blocking private addresses.

Enables an assistant to search and read AnkiWeb's shared-deck catalogue, download decks as .apkg files or Markdown, list the decks synced to your account, and publish a deck after a confirmed preview, all through your own AnkiWeb session. It can reuse a signed-in session from a local Chromium browser or open a login window, keeping credentials out of the server.