owl/community_usecase/Mcp_use_case

Autonomous Website Scraping with OWL + FireCrawl MCP

This project leverages OWL (Optimized Workforce Learning) and FireCrawl MCP (Model Context Protocol) to automate content curation. The system scrapes top tech news websites, extracts relevant information, and compiles a summary report.

Features

• Uses FireCrawl MCP Server for performing web scraping.
• Implements OwlRolePlaying for enhanced multi-agent task execution.
• Scrapes TechCrunch, The Verge, and Wired using FireCrawl.
• Extracts and summarizes headlines, article summaries, and publication dates.
• Generates a digest report (Latest_tech_digest.md) based on trends from these sources.
• Runs a default scraping task which can be updated before running the Script.

Installation

1. Clone this repository:

   git clone https://github.com/camel-ai/owl.git
   cd owl
   

2. Install dependencies:

   pip install -r requirements.txt
   

3. Set up environment variables:
   • Create a .env file and add your API keys/configuration as needed.

Usage

Navigate to the community use case directory before running the script:

cd community_usecase/Mcp_use_Case

Run the script using:

python Content_curator.py 

The script automatically executes the default task without taking additional input from the terminal.

Configuration

• The script reads from mcp_servers_config.json, which is located in the same folder as Mcp_use_case.
• Modify the default_task section in Content_curator.py to adjust scraping and summarization behavior.

Improvements & Customization

• The current implementation runs a default task and does not take task input from the terminal.
• To modify the scraping target or change the extracted details, update the default_task in Content_curator.py.
• The project is stored in the Mcp_use_Case folder inside community_usecase in the OWL directory.

Error Handling

• Ensures graceful cleanup in case of failures.
• Implements try-except blocks to handle tool execution errors.
• Cancels running async tasks to prevent memory leaks.
• Supports KeyboardInterrupt for a safe shutdown.

Cleanup & Shutdown

• The script automatically disconnects MCP after execution.
• Cancels remaining async tasks to prevent memory leaks.
• Special handling for Windows platforms is included to ensure smooth termination.

Repository

For more details, visit the OWL repository: OWL GitHub Repo