"A server for finding information about Puppeteer (headless browser automation tool)" matching MCP servers:

MCP server for AI browser automation with tools for navigation, actions, data extraction, and scripting, supporting local and cloud execution.

An MCP server for generic browser automation using Playwright. Enables MCP clients to navigate pages, inspect elements, execute JavaScript, capture screenshots, and monitor console logs and network traffic via a headless Chromium instance.

Enables MCP clients to run complete browser workflows through a single run_workflow tool, with anti-detection backends, intelligent element location, automatic retries, and session persistence.

Enables programmatic headless browser automation for creating sessions, interacting with pages, browsing, and extracting rendered content, with built-in anti-bot and protected-page support.

Enables automation of browser tasks using Playwright by interacting via Claude Desktop for executing user-defined prompts and operations.

MCP server for headless browser automation using Puppeteer, enabling AI to navigate, click, fill forms, take screenshots, and execute JavaScript on web pages.

A Playwright-based browser automation tool for AI agents, enabling web search, navigation, scraping, and page interaction through the Model Context Protocol.

An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.

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.

A Model Context Protocol server that enables AI assistants to control a real web browser with stealth capabilities, avoiding bot detection while performing tasks like clicking, filling forms, taking screenshots, and extracting data.

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

Provides AI assistants with powerful, detection-resistant browser automation capabilities, allowing them to control a real web browser to navigate, extract content, and perform tasks while avoiding bot detection.

Enables AI agents to open URLs in a persistent headless browser and interact with pages by clicking, typing, selecting, reading content, evaluating JavaScript, waiting for elements, and capturing screenshots.

Enables browser automation with concurrent tab pool management using Puppeteer. Supports navigation, content extraction, screenshots, element interaction, and JavaScript execution across multiple browser tabs with auto-recovery and idle timeout features.

Enables browser automation with Puppeteer, supporting navigation, form interactions, and connection to active Chrome instances for comprehensive web page interaction.

Enables AI agents to automate browser interactions including navigation, content extraction, form filling, screenshots, and JavaScript execution across multiple tabs using Puppeteer.

A Model Context Protocol server that provides browser automation capabilities using Puppeteer, enabling LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment.

This MCP server provides browser automation capabilities through Puppeteer, allowing interaction with both new browser instances and existing Chrome windows.

Provides browser automation capabilities through Puppeteer, allowing interaction with both new browser instances and existing Chrome windows.

MCP server for robust browser automation of legacy web portals, featuring exactly-once execution via an SQLite-backed idempotency lock and resilient Playwright locators.

A headless MCP server for Bruno workspaces, enabling CRUD operations on collections, folders, requests, environments, and dotenv files, plus request execution with scripting, tests, and assertions over HTTP, GraphQL, gRPC, and WebSocket.

Enables retrieval of YouTube video titles and transcripts/subtitles through an MCP interface backed by a headless Playwright browser, with optional persistent login/session and stdio or HTTP streaming transports.

An advanced MCP server for browser automation using Puppeteer, specifically optimized for token efficiency through minimal data returns and progressive enhancement. It enables agents to navigate pages, capture LLM-optimized screenshots, extract structured content, and perform batch interactions.

Enables LLMs to perform browser automation including web navigation, element interaction, and screenshot capture using Puppeteer. It provides capabilities for executing JavaScript in the browser and monitoring console logs for debugging and data extraction.

Self-hosted MCP server for browser automation using Puppeteer, with tools for navigation, screenshots, mouse interactions, cookie management, and multiple transport protocols.

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

A headless MCP server for interacting with Obsidian vaults, enabling AI assistants to search, read, edit, and manage notes and their structure without a GUI.

Enables Microsoft Teams chat automation, message extraction, and unread notification monitoring by automating the Teams web client with Puppeteer, requiring no API keys or Azure setup.

Enables an AI to see and operate an Expo / React Native app without an emulator, phone, or browser using real screenshots, taps, typing, scrolling, and automated bug hunting, with optional Android and iOS device control.

Enables headless batchmode control of Unity projects for compile, test, build, and screenshot tasks, avoiding the need for an interactive editor.

MCP server for headless browser automation via Puppeteer, with stealth anti-detection and Playwright-format ARIA snapshots.

Enables browser automation for LLMs on Linux display servers, supporting web interaction, screenshots, and JavaScript execution in a real browser.

Enables AI agents to drive a persistent Chrome session that stays signed in to your own Google account, with tools for navigation, snapshots, clicking, typing, keystrokes, screenshots, JavaScript evaluation, and lifecycle or re-login control. It also exports every row behind a Looker Studio report to CSV and checks whether the session is still healthy.

A headless server that enables reading and sending Gmail emails through API calls without requiring local credentials or browser access, designed to run remotely in containerized environments.

Enables AI agents to interact with Android devices through visual UI element detection and automated interactions. Provides comprehensive Android automation capabilities including touch gestures, text input, screenshots, and video recording via uiautomator2.

Enables Puppeteer-based web automation (navigation, screenshots, PDF generation, JavaScript execution, clicking) on Android Termux by running Chromium inside an Alpine Linux container.

A Model Context Protocol server that provides browser automation capabilities using Puppeteer with configurable options through environment variables, enabling LLMs to interact with web pages, take screenshots, and execute JavaScript in a browser environment.

Extends Puppeteer to enable digital marketing and SEO analysis, including detection of analytics tools, advertising pixels, tag managers, and SEO audits.

Lets AI agents drive a headless Chromium browser to open URLs, click, type, select options, read text/HTML, evaluate JavaScript, wait for elements, and capture real PNG screenshots. A persistent single session keeps cookies and SSO state across tool calls, and an optional live view mirrors pages in VS Code's integrated browser tab.