Crawlab MCP Server
Overview
what is Crawlab MCP Server?
Crawlab MCP Server is a Model Context Protocol (MCP) server designed for Crawlab, enabling AI applications to interact seamlessly with Crawlab's functionalities.
how to use Crawlab MCP Server?
To use the Crawlab MCP Server, install it as a Python package or run it locally using Docker. After installation, start the server and configure your AI application to connect to it.
key features of Crawlab MCP Server?
- Spider management (create, read, update, delete)
- Task management (run, cancel, restart)
- File management (read, write)
- Resource access (spiders, tasks)
- Natural language interaction with Crawlab functionalities
use cases of Crawlab MCP Server?
- Automating web scraping tasks through AI commands.
- Managing and monitoring spider tasks in real-time.
- Integrating with AI applications for enhanced data extraction capabilities.
FAQ from Crawlab MCP Server?
- What is the MCP Server used for?
The MCP Server allows AI applications to communicate with Crawlab for managing web scraping tasks and resources.
- How do I install the MCP Server?
You can install it as a Python package or run it using Docker. Detailed instructions are provided in the documentation.
- Can I use the MCP Server with any AI application?
Yes! The MCP Server is designed to work with various AI applications that can send natural language queries.
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