A
licenseA
qualityD
maintenanceAn advanced web browsing server enabling headless browser interactions via a secure API, providing features like navigation, content extraction, element interaction, and screenshot capture.
Last updated
6
27
MIT
Fetcher MCP
by everford
The Fetcher MCP server is an AI-powered tool that uses Playwright's headless browser to fetch and extract web page content efficiently.
Key capabilities:
URL Fetching: Retrieve content from single or multiple URLs concurrently
Content Extraction: Intelligently extract main content from web pages
Format Options: Return content as HTML or Markdown
Browser Control: Handle dynamic JavaScript content, set navigation completion conditions, and wait for additional navigation
Resource Optimization: Option to disable media resources (images, stylesheets, fonts)
Performance Settings: Customize timeouts, content length limits, and debug modes
Utilizes GitHub for distribution of releases and repository management.
Leverages Shields.io for creating download badges and visual status indicators.
Connects with Slack to enable community engagement and collaboration through a dedicated channel.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Fetcher MCPfetch the latest AI news from TechCrunch"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
🚀 Fetcher MCP - Playwright Headless Browser Server
Welcome to the Fetcher MCP GitHub repository! This repository hosts the MCP server for fetching web page content using the Playwright headless browser.
🧠 About
The Fetcher MCP is designed to leverage artificial intelligence capabilities to efficiently retrieve web page content. By utilizing the Playwright headless browser, this server can navigate through web pages and extract desired information with ease.
Related MCP server: Fetch MCP
🎯 Key Features
🤖 AI-Powered Content Fetching
🔗 Playwright Integration
🚀 Fast and Efficient
🌟 Easy Setup and Configuration
📚 Repository Details
Name: fetcher-mcp
Description: MCP server for fetch web page content using Playwright headless browser
Topics: AI, MCP, Playwright
📦 Latest Release
You can download the latest version of the Fetcher MCP server from the following link:
:information_source: Note:
The provided link leads directly to the application file. Please make sure to launch the application after downloading.
If the link is not accessible or does not work, you can check the "Releases" section of this repository for alternative download options.
🚀 Get Started
To start using the Fetcher MCP server for content fetching, follow these simple steps:
Download the latest version from the link above.
Unzip the downloaded file to your desired location.
Launch the application.
Configure the server settings as needed.
Start fetching web page content effortlessly!
🌐 Additional Resources
For more information, resources, or support regarding the Fetcher MCP server, feel free to visit the official website at https://github.com/everford/fetcher-mcp/releases.
📝 Contribution Guidelines
We welcome contributions to enhance the Fetcher MCP server and make it even more powerful and efficient. If you have any ideas, suggestions, or improvements, please submit a pull request following our guidelines.
🙌 Join Our Community
Connect with other developers, share insights, and stay updated on the latest news related to the Fetcher MCP server by joining our community:
👥 Slack Channel
🐦 Twitter
📧 Newsletter
🚀 Start using the Fetcher MCP server today for seamless web page content fetching with AI-powered capabilities. Effortlessly extract the information you need using the Playwright headless browser integration. Happy Fetching! 🌟
Remember, the Fetcher MCP server simplifies the process of web page content retrieval, making it faster and more efficient than ever before. Download the latest version now and experience the power of AI and Playwright in action. Happy fetching! 🚀
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