"Information about playwrights or Playwright (context-dependent)" matching MCP servers:

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

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

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

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.

Provides a server utilizing Model Context Protocol to enable human-like browser automation with Playwright, allowing control over browser actions such as navigation, element interaction, and scrolling.

An MCP server that keeps raw tool output out of the context window by sandboxing and compressing results (about 98% reduction), persisting file edits, git operations, tasks and decisions in SQLite with BM25 retrieval so the agent resumes after compaction, and enforcing routing across 17 platforms via MCP and hooks. It also encourages the model to write scripts that compute answers and log only results instead of reading large data into context.

Proxy for OpenAI-compatible backends that compacts conversation history before the context window fills, with read-only MCP tools to search and read back the archived originals.

MCP server providing lossless file reads with deduplication, per-repo token metering, and HMAC-signed context receipts. Enables auditable, vendor-neutral measurement of what an AI agent saw.

A reusable MCP server providing shared, versioned context across AI agents and devices via a private GitHub workspace, with tools to discover projects, bootstrap, query, and close out task state.

Aggregator MCP proxy that collapses N downstream MCP servers into 4 meta-tools with progressive tool discovery, and compresses large tool outputs (HTML→Markdown, JSON summarization) with full-output retrieval via read_more and a per-session token-savings report.

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.

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.

Provides persistent memory, identity, and context for Claude sessions through a memory graph, enabling recall, storage, and relationship management of entities and decisions.

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.

Enables multiple AI coding agents and humans to coordinate through a Git-native Markdown blackboard (.context/ + AGENTS.md), where they can inspect workspace overviews, claim and toggle ready tasks, record architecture decisions, synthesize shared prompts, and hand off work via atomic, lock-protected writes that prevent lost updates and formatting drift. It also serves a fully offline local web dashboard that live-syncs any blackboard change over WebSocket.

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.

MCP server providing virtual memory for AI context with durable SQLite storage, retrieval, and bounded prompt assembly to manage context windows.

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 coding agents to run budgeted tests and checks under a countdown with a stop rule, shape long logs into concise failure summaries, and guard pre-existing test files against silent assertion rewrites. It also delivers relevance-filtered project memory and renders a token-and-time roadmap of the orchestrator and every subagent spawned for a task.

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.