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Playwright Fetch MCP Server

MCP Server

Browser-automated web fetching and markdown extraction

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About

A Model Context Protocol server that uses Playwright to render JavaScript-heavy pages, extracts the main content, and converts it into clean markdown. Ideal for LLMs needing accurate web page summaries or structured content.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Playwright Fetch MCP Server

Playwright Fetch is a Model Context Protocol (MCP) server that gives AI assistants the ability to retrieve and render dynamic web content. By leveraging Playwright’s full‑browser automation, it can execute JavaScript, handle single‑page applications, and capture the final DOM state before extracting meaningful information. The server then converts that content into clean Markdown, making it instantly consumable by language models without the noise of raw HTML. This approach solves a common limitation in many LLM pipelines: the inability to access or understand client‑side rendered pages.

For developers building AI‑powered workflows, Playwright Fetch provides a turnkey solution to pull up‑to‑date information from any website. Instead of writing custom scrapers or dealing with headless browser configuration, an assistant can simply call the tool and receive structured text. The server respects , supports proxy routing, and can paginate large articles automatically, ensuring compliance with site policies while delivering complete content. The Markdown output is stripped of extraneous tags and scripts, giving the model a clean, readable input that preserves headings, links, lists, and code blocks.

Key capabilities include:

  • Full JavaScript execution – fetches pages that rely on client‑side rendering.
  • Content extraction – identifies the main article or content block to avoid ads and navigation.
  • Markdown conversion – outputs user‑friendly text suitable for prompt engineering.
  • Pagination handling – stitches together multi‑page articles or long scrollable content.
  • Robots.txt and proxy support – allows safe, network‑aware fetching.

Typical use cases span web research assistants that need current news articles, technical documentation readers that pull the latest API docs from a SPA, or compliance tools that scrape policy pages for audit. In a Claude workflow, the assistant can prompt the server with a URL, receive Markdown, and then perform summarization, sentiment analysis, or fact‑checking—all within a single conversational turn.

What sets Playwright Fetch apart is its blend of robustness and simplicity. It abstracts the complexities of headless browser management, offers Docker images for instant deployment, and integrates seamlessly with any MCP‑compatible client. Developers can focus on higher‑level logic while the server guarantees accurate, rendered content extraction and clean text output.