"Information about playwrights or the Playwright framework" matching MCP servers:

A TypeScript framework for building Model Context Protocol (MCP) servers with automatic discovery and loading of tools, resources, and prompts.

A communication framework that enables multiple AI agents to collaborate through asynchronous messaging, agent registration, and discovery. It facilitates complex task coordination and real-time discussion across distributed agent workflows using the Model Context Protocol.

Enables coding agents to publish HTML pages and small sites over MCP, returning a stable link and keeping every version, with access limited to specific people, an organization, or anyone with the link.

Enables an agent to submit a task brief and receive a short, validated list of skills from its full catalogue that are worth reading before starting.

A middleware system that connects large language models (LLMs) with various tool services through an OpenAI-compatible API, enabling enhanced AI assistant capabilities with features like file operations, web browsing, and database management.

MCP server for browser automation that lets LLMs interact with web pages through structured accessibility snapshots, bypassing the need for screenshots.

An MCP server that runs concurrent, session-isolated Playwright browser contexts, so many agents can each drive their own browser at the same time without colliding.

A server that enables browser automation using Playwright, allowing interaction with web pages, capturing screenshots, and executing JavaScript in a browser environment through LLMs.

Enables LLMs to perform browser automation through the Playwright framework with Chrome DevTools Protocol support, connecting to existing Chrome instances for advanced web interactions and JavaScript execution.

AI-native orchestration layer with 80+ tools for task management, code editing, browser automation, terminal control, and persistent memory across CLI, local MCP, and cloud deployments.

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots, providing browser automation capabilities without requiring screenshots or visually-tuned models.

Enables LLMs to automate browsers and interact with web pages through structured accessibility snapshots, avoiding the need for screenshots or vision-tuned models.

Enables AI agents to drive a real Playwright browser over MCP to navigate pages, read accessibility-tree snapshots, click, type, screenshot, and evaluate JavaScript, either in a managed browser or attached to a running Chromium-based browser via CDP.

Multi-agent Playwright MCP server with tab isolation via targetId, enabling multiple agents to share a single Chrome browser while maintaining isolated tab groups and shared sessions.

Enables AI assistants to control a browser through Cloudflare Workers, allowing them to perform web automation tasks like navigation, typing, clicking, and taking screenshots. Provides 14 browser automation tools that can be used with various AI platforms including Claude Desktop and VS Code.

۩ Plan your projects with THC! MLLM planning harness for Software Engineering, modifiable for other purposes, released as an MCP server. Bring your own API keys. Open-Source now, my dear! :D

Enables AI tools to drive a hosted, headless Chromium browser over HTTP — navigating, clicking, typing, and reading pages through structured accessibility snapshots — without installing a browser locally or running npx on each machine. It runs as a single authenticated Render web service that any MCP client can connect to at a shared HTTPS endpoint.

Lets AI clients drive a real headless Chromium browser through a hosted HTTPS endpoint — navigating, clicking, typing, and reading pages via structured accessibility snapshots rather than screenshots. Requests are gated behind a bearer token, so no local browser install or npx is needed on each machine.

Enables AI assistants and MCP clients to drive a hosted headless Chromium browser over HTTP — navigating, clicking, typing, and reading pages via structured accessibility snapshots rather than screenshots. Runs as a Render web service behind a bearer-token gate, so no local browser install or npx setup is required on each machine.

Enables AI tools to drive a hosted headless Chromium browser over HTTP for navigation, clicking, typing, and reading pages via structured accessibility snapshots, without local browser installs.

Enables AI tools to drive a hosted headless-Chromium browser over HTTP, letting them navigate, click, type, and read web pages through accessibility snapshots.

Provides a hosted, bearer-token-protected HTTP endpoint where any MCP client can drive a headless Chromium instance — opening pages, navigating, clicking, typing, and reading content through accessibility snapshots — without installing a browser or Node locally. It runs the official server image as a single Render web service, so browser automation is reachable over a shared HTTPS URL.

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Enables AI tools to remotely control a hosted headless Chromium browser over HTTP to navigate, click, type, and extract structured page content through the Model Context Protocol.

Enables AI assistants to remotely drive a hosted headless browser over HTTP, supporting navigation, clicking, typing, and structured page reading through the Model Context Protocol. It also provides bearer-token authentication for secure remote MCP access.

Enables AI assistants to control a hosted headless Chromium browser over HTTP via the Model Context Protocol, allowing them to navigate pages, click, type, and read structured accessibility snapshots.

Enables LLMs and MCP clients to control a hosted headless Chromium browser over HTTP, navigating, clicking, typing, and reading pages via structured accessibility snapshots, with bearer-token authentication.

Enables AI tools to drive a hosted headless Chromium browser over HTTP, allowing LLMs to navigate, click, type, and read web pages through accessibility snapshots.

Enables AI agents to automate browsers via Playwright MCP with human-like mouse movements, typing, clicks, and scrolling to avoid anti-bot detection.

Deploys a hosted, authenticated MCP server that lets AI assistants drive a real headless browser over HTTP, enabling navigation, clicking, typing, and reading pages without local browser setup.

Provides a drop-in Playwright MCP proxy with a judgment layer that triages page states, shields against prompt injection, prunes snapshots by goal, and gates risky actions, enabling coding agents to use standard Playwright MCP tools more safely.

Enables AI agents to control multiple independent browser instances in parallel with process-level isolation, supporting any backend MCP server for browser automation.

Enables multiple agents to share a single Chrome browser with isolated tabs and shared sessions, allowing coordinated browsing and automation.

Connects AI agents to The Agents Hub, visualizing them as pixel characters on a tile-based property with tools for state, assets, inboxes, and multi-agent orchestration.

Enables AI assistants to control a browser through Playwright tools for web automation tasks like navigation, typing, clicking, and taking screenshots.

Enables AI assistants to control a browser through a set of tools, allowing them to perform web automation tasks like navigation, typing, clicking, and taking screenshots.

Enables running multiple isolated browser instances in parallel, each with independent state and auth cloning, for concurrent task execution.

Lets many AI agent sessions share one real logged-in browser, each with its own tab group, using standard Playwright MCP tools.

Enables AI assistants to control a browser through tools for web automation, including navigation, typing, clicking, and taking screenshots.

Enables token-optimized browser automation with Playwright, featuring batch execution, diff detection, and advanced filtering to reduce token usage by 70-95% while providing LLM-friendly structured accessibility snapshots instead of screenshots.