A Model Context Protocol (MCP) server implementation that integrates with web scraping capabilities.
Overview
What is mcp-server-Bloom?
mcp-server-Bloom is a Model Context Protocol (MCP) server implementation that integrates web scraping capabilities to optimize web content extraction and improve data processing efficiency.
How to use mcp-server-Bloom?
To use mcp-server-Bloom, clone the repository from GitHub, follow the installation instructions in the INSTALL.md file, configure the crawling and extraction options in the config.json file, and run the main script to start the URL discovery and extraction process.
Key features of mcp-server-Bloom?
- Automatic URL discovery and crawling from an initial seed.
- Precise web search with content extraction for various formats (text, images, metadata).
- Automatic retries with exponential backoff for handling temporary failures.
- Efficient batch processing with built-in rate limiting to comply with web service usage policies.
- Real-time credit usage monitoring for cloud APIs to manage resources effectively.
Use cases of mcp-server-Bloom?
- Discovering and extracting data from multiple web pages for research purposes.
- Automating the collection of content for data analysis and reporting.
- Monitoring web content changes over time for competitive analysis.
FAQ from mcp-server-Bloom?
- Is mcp-server-Bloom easy to set up?
Yes! Follow the installation instructions provided in the repository to get started quickly.
- Can mcp-server-Bloom handle large volumes of data?
Yes! It supports efficient batch processing and has built-in rate limiting to manage requests effectively.
- What types of content can be extracted?
The tool can extract text, images, and metadata from web pages.