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Crawlab MCP Server

by crawlab-team

The Crawlab MCP Server provides a standardized way for AI applications to interact with Crawlab's features. It acts as a Model Context Protocol (MCP) server, enabling AI to access and manage spiders, tasks, and files within Crawlab.

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What is Crawlab MCP Server?

The Crawlab MCP Server is a middleware component that allows AI applications to interact with Crawlab's functionality through a standardized protocol. It translates natural language commands from AI applications into Crawlab API calls, enabling AI-driven control and automation of Crawlab tasks.

How to use Crawlab MCP Server?

To use the MCP server, first install it as a Python package or run it locally/with Docker. Configure the server with your Crawlab API details. Then, connect your AI application to the MCP server's URL. You can then use natural language commands to interact with Crawlab through the AI application.

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)

  • Standardized API for AI interaction

  • Integration with LLM providers (e.g., Claude, OpenAI)

Use cases of Crawlab MCP Server

  • AI-driven spider creation and configuration

  • Automated task scheduling and monitoring

  • Natural language-based data extraction workflows

  • AI-powered debugging and optimization of spiders

FAQ from Crawlab MCP Server

What is the purpose of the MCP server?

The MCP server provides a standardized way for AI applications to interact with Crawlab's functionality, enabling AI-driven control and automation.

How do I install the MCP server?

You can install it as a Python package using pip, run it locally after cloning the repository, or use Docker.

What Crawlab API details do I need to configure?

You need to configure the CRAWLAB_API_BASE_URL and CRAWLAB_API_TOKEN in the .env file.

How do I connect my AI application to the MCP server?

You need to configure your AI application to connect to the MCP server's URL (e.g., http://localhost:8000).

What are some example commands I can use?

Examples include 'List all my spiders', 'Create a new spider with these specifications...', 'Run spider X and notify me when it's complete'.