playwright-mcp
Playwright MCP server
Install / Use
claude mcp add microsoft -- npx -y github:microsoft/playwright-mcpIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Our assessment of playwright-mcp
playwright-mcp scores 79/100 on our quality scale, 3603rd of 4,611 Development & Engineering skills we index.
Its MCP Server is 65 KB long, well organised into 24 sections with 30 code examples: long enough that it reads more like full documentation than a focused instruction file, which agents can find harder to follow.
With 39,248 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated today, so playwright-mcp is actively maintained.
- Our last check on 2026-10-20 found the source still online.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 95/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
playwright-mcp compared with similar skills
All 4 of these similar skills score higher than playwright-mcp; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| playwright-mcp (this skill)by microsoft | 79 | 39.2k | today | MCP Server |
| taste-skillby Leonxlnx | 100 | 110.8k | 1d ago | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 109.3k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 79.0k | today | CLAUDE.md |
| ai-job-searchby ai-job-search-dev | 100 | 69.9k | today | CLAUDE.md |
Frequently asked questions
- How do I install playwright-mcp?
- Run
claude mcp add microsoft -- npx -y github:microsoft/playwright-mcp. The install tabs above show the steps for each supported agent. - Which AI agents does playwright-mcp work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is playwright-mcp safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is Apache-2.0-licensed and scores 95/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is playwright-mcp still maintained?
- The repository was last updated today, so playwright-mcp is actively maintained.
Skill content
View source on GitHubPlaywright MCP
A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models.
Playwright MCP vs Playwright CLI
This package provides MCP interface into Playwright. If you are using a coding agent, you might benefit from using the CLI+SKILLS instead.
-
CLI: Modern coding agents increasingly favor CLI–based workflows exposed as SKILLs over MCP because CLI invocations are more token-efficient: they avoid loading large tool schemas and verbose accessibility trees into the model context, allowing agents to act through concise, purpose-built commands. This makes CLI + SKILLs better suited for high-throughput coding agents that must balance browser automation with large codebases, tests, and reasoning within limited context windows.<br>Learn more about Playwright CLI with SKILLS.
-
MCP: MCP remains relevant for specialized agentic loops that benefit from persistent state, rich introspection, and iterative reasoning over page structure, such as exploratory automation, self-healing tests, or long-running autonomous workflows where maintaining continuous browser context outweighs token cost concerns.
Key Features
- Fast and lightweight. Uses Playwright's accessibility tree, not pixel-based input.
- LLM-friendly. No vision models needed, operates purely on structured data.
- Deterministic tool application. Avoids ambiguity common with screenshot-based approaches.
Requirements
- Node.js 18 or newer
- VS Code, Cursor, Windsurf, Claude Desktop, Goose, Grok, Junie or any other MCP client
Getting started
First, install the Playwright MCP server with your client.
Standard config works in most of the tools:
{
"mcpServers": {
"playwright": {
"command": "npx",
"args": [
"@playwright/mcp@latest"
]
}
}
}
<img src="https://img.shields.io/badge/VS_Code-VS_Code?style=flat-square&label=Install%20Server&color=0098FF" alt="Install in VS Code"> <img alt="Install in VS Code Insiders" src="https://img.shields.io/badge/VS_Code_Insiders-VS_Code_Insiders?style=flat-square&label=Install%20Server&color=24bfa5">
<details> <summary>Amp</summary>Add via the Amp VS Code extension settings screen or by updating your settings.json file:
"amp.mcpServers": {
"playwright": {
"command": "npx",
"args": [
"@playwright/mcp@latest"
]
}
}
Amp CLI Setup:
Add via the amp mcp add command below
amp mcp add playwright -- npx @playwright/mcp@latest
</details>
<details>
<summary>Antigravity</summary>
Add via the Antigravity settings or by updating your configuration file:
{
"mcpServers": {
"playwright": {
"command": "npx",
"args": [
"@playwright/mcp@latest"
]
}
}
}
</details>
<details>
<summary>Claude Code</summary>
Use the Claude Code CLI to add the Playwright MCP server:
claude mcp add playwright npx @playwright/mcp@latest
</details>
<details>
<summary>Claude Desktop</summary>
Follow the MCP install guide, use the standard config above.
</details> <details> <summary>Cline</summary>Follow the instruction in the section Configuring MCP Servers
Example: Local Setup
Add the following to your cline_mcp_settings.json file:
{
"mcpServers": {
"playwright": {
"type": "stdio",
"command": "npx",
"timeout": 30,
"args": [
"-y",
"@playwright/mcp@latest"
],
"disabled": false
}
}
}
</details>
<details>
<summary>Codex</summary>
Use the Codex CLI to add the Playwright MCP server:
codex mcp add playwright npx "@playwright/mcp@latest"
Alternatively, create or edit the configuration file ~/.codex/config.toml and add:
[mcp_servers.playwright]
command = "npx"
args = ["@playwright/mcp@latest"]
For more information, see the Codex MCP documentation.
</details> <details> <summary>Copilot</summary>Use the Copilot CLI to interactively add the Playwright MCP server:
/mcp add
Alternatively, create or edit the configuration file ~/.copilot/mcp-config.json and add:
{
"mcpServers": {
"playwright": {
"type": "local",
"command": "npx",
"tools": [
"*"
],
"args": [
"@playwright/mcp@latest"
]
}
}
}
For more information, see the Copilot CLI documentation.
</details> <details> <summary>Cursor</summary>Click the button to install:
<img src="https://cursor.com/deeplink/mcp-install-dark.svg" alt="Install in Cursor">
Or install manually:
Go to Cursor Settings -> MCP -> Add new MCP Server. Name to your liking, use command type with the command npx @playwright/mcp@latest. You can also verify config or add command like arguments via clicking Edit.
Use the Factory CLI to add the Playwright MCP server:
droid mcp add playwright "npx @playwright/mcp@latest"
Alternatively, type /mcp within Factory droid to open an interactive UI for managing MCP servers.
For more information, see the Factory MCP documentation.
</details> <details> <summary>Gemini CLI</summary>Follow the MCP install guide, use the standard config above.
</details> <details> <summary>Goose</summary>Click the button to install:
Or install manually:
Go to Advanced settings -> Extensions -> Add custom extension. Name to your liking, use type STDIO, and set the command to npx @playwright/mcp. Click "Add Extension".
Use the Grok CLI to add the Playwright MCP server:
grok mcp add playwright -- npx @playwright/mcp@latest
Alternatively, create or edit the configuration file ~/.grok/config.toml and add:
[mcp_servers.playwright]
command = "npx"
args = ["@playwright/mcp@latest"]
For more information, see the Grok MCP documentation.
</details> <details> <summary>Junie</summary>To add the Playwright MCP server in Junie CLI:
- Type
/mcp - Press
Ctrl+Ato add a new MCP server - Select Playwright from the list
Alternatively, add to .junie/mcp/mcp.json:
{
"mcpServers": {
"Playwright": {
"command": "npx",
"args": [
"-y",
"@playwright/mcp@latest"
]
}
}
}
For more information, see the Junie MCP configuration documentation.
</details> <details> <summary>Kiro</summary>Follow the MCP Servers documentation. For example in .kiro/settings/mcp.json:
{
"mcpServers": {
"playwright": {
"command": "npx",
"args": [
"@playwright/mcp@latest"
]
}
}
}
</details>
<details>
<summary>LM Studio</summary>
Click the button to install:
Or install manually:
Go to Program in the right sidebar -> Install -> Edit mcp.json. Use the standard config above.
Follow the MCP Servers documentation. For example in ~/.config/opencode/opencode.json:
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"playwright": {
"type": "local",
"command": [
"npx",
"@playwright/mcp@latest"
],
"enabled": true
}
}
}
</details>
<details>
<summary>Qodo Gen</summary>
Open Qodo Gen chat panel in VSCode or IntelliJ → Connect more tools → + Add new MCP → Paste the standard config above.
Click <code>Save</code>.
</details> <details> <summary>VS Code</summary>Click the button to install:
<img src="https://img.shields.io/badge/VS_Code-VS_Code?style=flat-square&label=Install%20Server&color=0098FF" alt="Install in VS Code"> <img alt="Install in VS Code Insiders" src="https://img.shields.io/badge/VS_Code_Insiders-VS_Code_Insiders?style=flat-square&label=Install%20Server&color=24bfa5">
Or install manually:
Follow the MCP install guide, use the standard config above. You can also install the Playwright MCP server using the VS Code CLI:
# For VS Code
code --add-mcp '{"name":"playwright","command":"npx","args":["@playwright/mcp@latest"]}'
After installation, the Playwright MCP server will be available for use with your GitHub Copilot agent in VS Code.
</details> <details> <summary>Warp</summary>Go to Settings -> AI -> Manage MCP Servers -> + Add to add an MCP Server. Use the standard config above.
Alternatively, use the slash command /add-mcp in the Warp prompt and paste the standard config from above:
{
"mcpServers": {
"playwright": {
"command": "npx",
"args": [
"@playwright/mcp@latest"
]
}
}
}
</details>
<details>
<summary>Windsurf</summary>
Follow Windsurf MCP documentation. Use the standard config above.
</details>Configuration
Playwright MCP server supports
Truncated for display — read the full file on GitHub.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
