"Common Lisp" matching MCP servers:

Enables AI agents to read any URL by using an escalating open-source unlocker to bypass common bot walls, returning clean Markdown content.

A Model Context Protocol server that enables Claude and other LLMs to make HTTP requests with realistic browser fingerprinting, bypassing common anti-bot measures and interacting with websites more naturally.

A batteries-included MCP server providing common coding-agent tools like web search, page fetching, file system access, shell command execution, and Git integration, built in Python with a local-first, Unix-style philosophy.

Enables agents to retrieve the closest archived snapshot of a URL with extracted page text, and to query the complete capture history for a URL, prefix, host, or domain, with fallback to Common Crawl.

Provides stealth browser capabilities using Playwright with anti-detection techniques, allowing MCP clients to navigate websites and take screenshots while evading common bot detection systems.

Enables control of Android devices through ADB using natural language commands. Supports browser automation, SMS sending, device information retrieval, settings control, and common device actions like screenshots and button presses.

Enables users to fetch chart images for specified tickers and intervals, using browser pooling for concurrent performance. It also exposes performance statistics and supports natural-language prompts for common timeframe requests.

Fetches web content, converts HTML to Markdown, and processes it with Claude AI, bypassing common bot blocks.

MyChart MCP Server

Enables measuring DOM elements and capturing screenshots in a real local Chrome browser over the DevTools Protocol, with in-page login so httpOnly cookies apply and overlay-masking before capture. It removes common Chrome automation traps such as sandbox kills, WebSocket origin rejection, and Retina pixel scaling, with no npm or Python dependencies beyond the MCP SDK.

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.

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

Enables agent harnesses to run autonomous browser-based QA on staging apps, triage and fix found bugs, and re-verify them using the agent's existing model access.

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.

Enables any agent to drive a dedicated Chromium instance through MCP, including opening and reading pages, taking steps, logging in via a password vault, downloading/uploading files, and replaying saved routines. It also gates sensitive actions behind approvals and can use client certificates or one-time card data for official procedures.

Provides bounded, observable access to graphical apps, browsers, terminals, Android devices, virtual machines, and SSH hosts through MCP tools, enabling safe automation and app QA.

Enables driving a real Chrome instance remotely through MCP, including per-tab control, JavaScript evaluation, screenshots, cookie and network capture, and CDP fallback with token-based authentication.