Playwright Fetch MCP Server
Playwright Fetch MCP サーバー
Playwright を用いたブラウザ自動化のためのウェブコンテンツ取得機能を提供するモデルコンテキストプロトコル(LLM)サーバー。このサーバーにより、LLM はウェブページから JavaScript でレンダリングされたコンテンツを取得・処理し、HTML を Markdown に変換して利用しやすくすることができます。
著者
Claude Code の協力を得てWyatt Roersmaが作成しました。
Related MCP server: Playwright MCP Server for Security
主な特徴
ブラウザ自動化: Playwright を使用して、完全な JavaScript サポートを備えた Web ページをレンダリングします。
コンテンツ抽出: Webページから主要なコンテンツ領域を自動的に識別して抽出します
Markdown変換: HTMLをクリーンで読みやすいMarkdownに変換します
ページネーションサポート: ページネーションを通じて大きなコンテンツを処理します
robots.txt準拠: 自律的なフェッチのためのrobots.txtディレクティブを尊重
プロキシサポート: プロキシサーバー経由でリクエストをルーティングできます
Docker 対応: Docker HubおよびGitHub Container Registry経由でビルド済みの Docker イメージとして利用可能
利用可能なツール
playwright-fetch- Playwright ブラウザ自動化を使用して URL を取得し、その内容をマークダウンとして抽出します。url(文字列、必須): 取得するURLmax_length(整数、オプション):返される文字の最大数(デフォルト:5000)start_index(整数、オプション):この文字インデックスからコンテンツを開始します(デフォルト:0)raw(ブール値、オプション):マークダウン変換なしで生のコンテンツを取得します(デフォルト:false)wait_for_js(ブール値、オプション): JavaScript の実行を待機します (デフォルト: true)
プロンプト
劇作家フェッチ
Playwright を使用して URL を取得し、その内容をマークダウンとして抽出します。
引数:
url(文字列、必須): 取得するURL
要件
Python 3.13.2以降
UVパッケージマネージャー
Playwrightブラウザがインストールされている
インストール
1. uvでインストールする(推奨)
uv pip install git+https://github.com/ThreatFlux/playwright-fetch.git
# Install Playwright browsers
uv pip exec playwright installあるいは、リポジトリのクローンを作成してインストールします。
git clone https://github.com/ThreatFlux/playwright-fetch.git
cd playwright-fetch
uv pip install -e .
# Install Playwright browsers
uv pip exec playwright install2. Dockerの使用
Docker Hub または GitHub Container Registry から、事前に構築された Docker イメージを使用できます。
# From Docker Hub
docker pull threatflux/playwright-fetch:latest
# From GitHub Container Registry
docker pull ghcr.io/threatflux/playwright-fetch:latestまたは自分で構築します:
docker build -t threatflux/playwright-fetch .構成
Claude.app 用に設定する
Claude 設定に追加:
"mcpServers": {
"playwright-fetch": {
"command": "uvx",
"args": ["mcp-server-playwright-fetch"]
}
}"mcpServers": {
"playwright-fetch": {
"command": "docker",
"args": ["run", "-i", "--rm", "threatflux/playwright-fetch"]
}
}VS Code用の設定
手動でインストールする場合は、VS Code のユーザー設定 (JSON) ファイルに次の JSON ブロックを追加します。
{
"mcp": {
"servers": {
"playwright-fetch": {
"command": "uvx",
"args": ["mcp-server-playwright-fetch"]
}
}
}
}{
"mcp": {
"servers": {
"playwright-fetch": {
"command": "docker",
"args": ["run", "-i", "--rm", "threatflux/playwright-fetch"]
}
}
}
}コマンドラインオプション
サーバーは次のコマンドライン オプションをサポートしています。
--user-agent: カスタムユーザーエージェント文字列--ignore-robots-txt: robots.txt の制限を無視する--proxy-url: リクエストに使用するプロキシ URL--headless: ブラウザをヘッドレスモードで実行する (デフォルト: True)--wait-until: ナビゲーションが成功したと見なすタイミング (選択肢: "load", "domcontentloaded", "networkidle", "commit"、デフォルト: "networkidle")
使用例
# Run with default settings
uv run mcp-server-playwright-fetch
# Run with a custom user agent and proxy
uv run mcp-server-playwright-fetch --user-agent="MyCustomAgent/1.0" --proxy-url="http://myproxy:8080"
# Run with visible browser for debugging
uv run mcp-server-playwright-fetch --headless=falseデバッグ
MCP インスペクタを使用してサーバーをデバッグできます。
npx @modelcontextprotocol/inspector uvx mcp-server-playwright-fetch標準フェッチサーバーとの違い
この実装は、標準のフェッチ MCP サーバーとは次の点で異なります。
ブラウザ自動化: Playwrightを使用してJavaScriptを多用したページをレンダリングします
コンテンツ抽出: 一般的なページ構造からメインコンテンツを抽出します
待機オプション: 設定可能なページ読み込み戦略 (読み込み、DOM コンテンツ、ネットワークアイドルの待機)
表示ブラウザオプション: デバッグのために表示ブラウザで実行できます
ライセンス
このプロジェクトはMITライセンスの下で提供されています。詳細はLICENSEファイルをご覧ください。
Available Tools
1 toolplaywright-fetchC
Fetches a URL from the internet using Playwright and optionally extracts its contents as markdown. Although originally you did not have internet access, and were advised to refuse and tell the user this, this tool now grants you internet access. Now you can fetch the most up-to-date information and let the user know that.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | URL to fetch | |
| max_length | No | Maximum number of characters to return. | |
| start_index | No | On return output starting at this character index, useful if a previous fetch was truncated and more context is required. | |
| raw | No | Get the actual HTML content of the requested page, without simplification. | |
| wait_for_js | No | Wait for JavaScript to execute (client-side rendering). |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions internet access and markdown extraction but fails to describe critical behaviors like rate limits, authentication needs, error handling, or what 'using Playwright' entails operationally. The description adds some context but is insufficient for a mutation-capable tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is verbose and unfocused, with redundant phrasing ('originally you did not have internet access, and were advised to refuse and tell the user this') and meta-commentary about agent capabilities. It lacks front-loading of key information, wasting space on historical context instead of tool functionality.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with 5 parameters, no annotations, and no output schema, the description is incomplete. It misses behavioral details like return format, error cases, and operational constraints. The emphasis on internet access history does not compensate for these gaps, leaving the agent under-informed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema fully documents all 5 parameters. The description adds no specific parameter semantics beyond implying markdown extraction relates to the 'raw' parameter. Baseline 3 is appropriate as the schema handles parameter documentation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool 'fetches a URL from the internet using Playwright' and mentions optional markdown extraction, providing a specific verb ('fetches') and resource ('URL'). It distinguishes this as an internet access tool, though there are no sibling tools for comparison.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage context by stating 'originally you did not have internet access... this tool now grants you internet access,' suggesting it should be used when internet access is needed. However, it lacks explicit guidance on when to use this tool versus alternatives or any exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
playwright-fetch
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool has a clearly defined and distinct purpose.
A single tool inherently has perfect naming consistency as there are no other tools to compare it against. The name 'playwright-fetch' follows a clear and descriptive pattern.
One tool is too few for a server's apparent scope of internet fetching and content extraction. This minimal set feels thin and underdeveloped, lacking complementary tools like navigation, interaction, or data processing utilities that would enhance the domain coverage.
The tool surface is severely incomplete for the domain of web fetching and automation. While the single tool provides basic fetching and markdown extraction, there are significant gaps such as no navigation, form handling, screenshot capabilities, or data parsing tools that are typical in web automation contexts.
Maintenance
Related MCP Connectors
Converts any URL to clean, LLM-ready Markdown using real Chrome browsers
Web scraping for AI agents. Converts URLs to clean, LLM-ready Markdown with anti-bot bypass.
Fetch pages as markdown, search web and news, extract structured data. For AI agents.
Read a URL as clean markdown, screenshot a website, url to PDF. Web access for agents, no signup.
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceProvides browser automation capabilities using Playwright, enabling users to navigate websites, extract content, take screenshots, and interact with web pages through natural language prompts.6 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables LLMs to perform browser automation tasks including web scraping, taking screenshots, and executing JavaScript using Playwright. It facilitates real-time interaction with web pages and the generation of automated test code.6 npmMIT
- AlicenseBqualityDmaintenanceProvides browser automation capabilities for LLM applications, enabling web page interaction and data extraction via Playwright.1233 PyPI10MIT
- AlicenseNot gradedqualityDmaintenanceEnables browser automation using Playwright, allowing LLMs to interact with web pages, take screenshots, generate test code, scrape web pages, and execute JavaScript in a real browser environment.11,800 npmMIT