mcp-server-Bloom
by Robinson777-prog
This is a Model Context Protocol (MCP) server implementation that integrates with web scraping capabilities. It's a URL discovery and crawling tool designed to optimize web content extraction and improve data processing efficiency.
Last updated: N/A
What is mcp-server-Bloom?
This server is a web crawler and search tool designed for automatic URL discovery, content extraction, and efficient data processing from websites.
How to use mcp-server-Bloom?
To use this server, clone the repository, follow the installation instructions in INSTALL.md
, configure crawling and extraction options in config.json
, and run the main script to start the URL discovery and extraction process.
Key features of mcp-server-Bloom
URL Discovery and Crawling
Web Search with Content Extraction
Automatic Retries with Exponential Backoff
Efficient Batch Processing with Built-in Rate Limiting
Credit Usage Monitoring for Cloud APIs
Use cases of mcp-server-Bloom
Data mining
Market research
Content aggregation
SEO analysis
FAQ from mcp-server-Bloom
How does the tool discover URLs?
How does the tool discover URLs?
The tool automatically discovers relevant URLs from an initial seed using advanced crawling techniques.
What content formats can the tool handle?
What content formats can the tool handle?
The tool is equipped to handle various content formats, including text, images, and metadata.
How does the tool handle temporary failures in web requests?
How does the tool handle temporary failures in web requests?
The tool implements an automatic retry strategy with exponential backoff to handle temporary failures.
How does the tool comply with web service usage policies?
How does the tool comply with web service usage policies?
The tool supports batch processing with built-in rate limiting to comply with web service usage policies.
How does the tool monitor credit usage for cloud APIs?
How does the tool monitor credit usage for cloud APIs?
The tool monitors credit consumption in real-time, allowing for efficient resource management.