a year ago
research-and-dataThis repository implements a Model Context Protocol (MCP) server for web crawling capabilities, exposing crawlers as LangChain-compatible tools or any MCP-compliant client. It includes two main services:
Overview
What is Webcrawl-MCP?
Webcrawl-MCP is a repository that implements a Model Context Protocol (MCP) server designed for web crawling capabilities, allowing crawlers to be exposed as LangChain-compatible tools or any MCP-compliant client.
How to use Webcrawl-MCP?
To use Webcrawl-MCP, you can either run it using Docker or locally by installing dependencies and starting the server. The microservice responsible for fetching and extracting web content can also be run locally.
Key features of Webcrawl-MCP?
- Implements a Model Context Protocol (MCP) server for web crawling.
- Exposes crawlers as LangChain-compatible tools.
- Includes two main services: mcp-service and crawl4ai-service.
- Provides detailed API documentation and examples for usage.
Use cases of Webcrawl-MCP?
- Integrating web crawling capabilities into applications.
- Fetching and extracting web content for data analysis.
- Building tools that require web data scraping and processing.
FAQ from Webcrawl-MCP?
- What is the purpose of the MCP server?
The MCP server facilitates the discovery and invocation of crawling tools.
- Can I run the services locally?
Yes! You can run both the MCP server and the crawl4ai-service locally by following the provided instructions.
- Is there documentation available?
Yes, comprehensive documentation is available in the repository, including API specifications and usage examples.