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ThreatFlux

Playwright Fetch MCP Server

by ThreatFlux
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Python
Hybrid

Playwright Fetch MCP Server

GitHub release (latest by date) CI codecov License: MIT Python Version Playwright MCP Code style: black

A Model Context Protocol server that provides web content fetching capabilities using Playwright for browser automation. This server enables LLMs to retrieve and process JavaScript-rendered content from web pages, converting HTML to markdown for easier consumption.

Author

Created by Wyatt Roersma with assistance from Claude Code.

Related MCP server: Playwright MCP Server for Security

Key Features

  • Browser Automation: Uses Playwright to render web pages with full JavaScript support

  • Content Extraction: Automatically identifies and extracts main content areas from web pages

  • Markdown Conversion: Converts HTML to clean, readable markdown

  • Pagination Support: Handles large content through pagination

  • Robots.txt Compliance: Respects robots.txt directives for autonomous fetching

  • Proxy Support: Allows routing requests through a proxy server

  • Docker Ready: Available as pre-built Docker images via Docker Hub and GitHub Container Registry

Available Tools

  • playwright-fetch - Fetches a URL using Playwright browser automation and extracts its contents as markdown.

    • url (string, required): URL to fetch

    • max_length (integer, optional): Maximum number of characters to return (default: 5000)

    • start_index (integer, optional): Start content from this character index (default: 0)

    • raw (boolean, optional): Get raw content without markdown conversion (default: false)

    • wait_for_js (boolean, optional): Wait for JavaScript to execute (default: true)

Prompts

  • playwright-fetch

    • Fetch a URL using Playwright and extract its contents as markdown

    • Arguments:

      • url (string, required): URL to fetch

Requirements

  • Python 3.13.2 or newer

  • uv package manager

  • Playwright browsers installed

Installation

1. Install with uv (recommended)

uv pip install git+https://github.com/ThreatFlux/playwright-fetch.git
# Install Playwright browsers
uv pip exec playwright install

Alternatively, clone the repository and install:

git clone https://github.com/ThreatFlux/playwright-fetch.git
cd playwright-fetch
uv pip install -e .
# Install Playwright browsers
uv pip exec playwright install

2. Using Docker

You can use our pre-built Docker images from Docker Hub or GitHub Container Registry:

# From Docker Hub
docker pull threatflux/playwright-fetch:latest

# From GitHub Container Registry
docker pull ghcr.io/threatflux/playwright-fetch:latest

Or build it yourself:

docker build -t threatflux/playwright-fetch .

Configuration

Configure for Claude.app

Add to your Claude settings:

"mcpServers": {
  "playwright-fetch": {
    "command": "uvx",
    "args": ["mcp-server-playwright-fetch"]
  }
}
"mcpServers": {
  "playwright-fetch": {
    "command": "docker",
    "args": ["run", "-i", "--rm", "threatflux/playwright-fetch"]
  }
}

Configure for VS Code

For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code.

{
  "mcp": {
    "servers": {
      "playwright-fetch": {
        "command": "uvx",
        "args": ["mcp-server-playwright-fetch"]
      }
    }
  }
}
{
  "mcp": {
    "servers": {
      "playwright-fetch": {
        "command": "docker",
        "args": ["run", "-i", "--rm", "threatflux/playwright-fetch"]
      }
    }
  }
}

Command Line Options

The server supports these command-line options:

  • --user-agent: Custom User-Agent string

  • --ignore-robots-txt: Ignore robots.txt restrictions

  • --proxy-url: Proxy URL to use for requests

  • --headless: Run browser in headless mode (default: True)

  • --wait-until: When to consider navigation succeeded (choices: "load", "domcontentloaded", "networkidle", "commit", default: "networkidle")

Example Usage

# 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

Debugging

You can use the MCP inspector to debug the server:

npx @modelcontextprotocol/inspector uvx mcp-server-playwright-fetch

Differences from Standard Fetch Server

This implementation differs from the standard fetch MCP server in these ways:

  1. Browser Automation: Uses Playwright to render JavaScript-heavy pages

  2. Content Extraction: Attempts to extract main content from common page structures

  3. Wait Options: Configurable page loading strategy (wait for load, DOM content, network idle)

  4. Visible Browser Option: Can run with a visible browser for debugging

License

This project is licensed under the MIT License. See the LICENSE file for details.

Available Tools

1 tool
playwright-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.

ParametersJSON Schema
NameRequiredDescriptionDefault
urlYesURL to fetch
max_lengthNoMaximum number of characters to return.
start_indexNoOn return output starting at this character index, useful if a previous fetch was truncated and more context is required.
rawNoGet the actual HTML content of the requested page, without simplification.
wait_for_jsNoWait for JavaScript to execute (client-side rendering).

TDQS

C2.9/5.0
Behavior2/5

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.

Conciseness2/5

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.

Completeness2/5

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.

Parameters3/5

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.

Purpose4/5

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.

Usage Guidelines3/5

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. Dates show when Glama detected each change.

  1. 1 tool update
    • First observedplaywright-fetch
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TDQS

B3.1/5.0
Disambiguation5/5

With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool has a clearly defined and distinct purpose.

Naming Consistency5/5

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.

Tool Count2/5

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.

Completeness2/5

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

ActivityInactive
ResponsivenessSyncing

Resources

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