mcp-server-Bloom

mcp-server-Bloom

By Robinson777-prog GitHub

A Model Context Protocol (MCP) server implementation that integrates with web scraping capabilities.

mcp-server web-scraping
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?

  1. Discovering and extracting data from multiple web pages for research purposes.
  2. Automating the collection of content for data analysis and reporting.
  3. 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.

Content

mcp-server-Bloom

A Model Context Protocol (MCP) server implementation that integrates with web scraping capabilities.

Web Crawler and Search Tool

Welcome to our URL discovery and crawling tool, designed to optimize web content extraction and improve data processing efficiency. Below are the main features of our solution:

Main Features

URL Discovery and Crawling

Our tool allows for the automatic discovery of relevant URLs from an initial seed. It uses advanced crawling techniques to explore and map websites, ensuring no important content is missed.

Web Search with Content Extraction

Perform precise web searches and extract the necessary content from the pages found. Our tool is equipped to handle various content formats, including text, images, and metadata.

Automatic Retries with Exponential Backoff

We implement an automatic retry strategy with exponential backoff to handle temporary failures in web requests. This ensures that failed requests are retried efficiently without overloading the servers.

Efficient Batch Processing with Built-in Rate Limiting

Our tool supports batch processing of large volumes of data, with built-in rate limiting to comply with web service usage policies. This ensures that requests are made in a controlled and efficient manner.

Credit Usage Monitoring for Cloud APIs

Keep precise control over the usage of credits for cloud APIs. Our tool monitors credit consumption in real-time, allowing for efficient resource management and avoiding unexpected costs.

Getting Started

  1. Installation: Clone this repository and follow the installation instructions in the INSTALL.md file.
  2. Configuration: Configure the crawling and extraction options in the config.json file.
  3. Execution: Run the main script to start the URL discovery and extraction process.
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