Crawlab FAQs

Question 1

What features does the Crawlab MCP Server offer?

Accepted Answer

It offers spider management (create, read, update, delete), task management (run, cancel, restart), file management (read, write), and resource access. It integrates seamlessly with LLM providers.

Question 2

What are the prerequisites for running the Crawlab MCP Server?

Accepted Answer

You need Python 3.8+, a running and accessible Crawlab instance, and an API token from Crawlab.  You can install it as a Python package, run it locally, or use Docker.

Question 3

What is Crawlab MCP Server?

Accepted Answer

The Crawlab MCP (Model Context Protocol) Server allows AI applications to interact with Crawlab's web scraping and data collection functionalities using natural language. It acts as a bridge between Crawlab and AI models like Claude or OpenAI.

Question 4

How does the AI application communicate with Crawlab through the MCP Server?

Accepted Answer

The AI application sends a natural language query, which the LLM processes to identify the required tools and generate tool calls. The MCP Server then executes these tool calls by interacting with the Crawlab API.

Question 5

Which LLMs are compatible with Crawlab MCP Server?

Accepted Answer

Crawlab MCP Server is designed to integrate with various LLM providers, including Claude and OpenAI. The specific implementation might require custom client configuration.

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