apify_mcp-server-rag-web-browser
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This project implements an MCP server for the RAG Web Browser Actor, allowing AI assistants to perform web searches and scrape content for large language models and RAG pipelines. It requires Node.js and is compatible with Claude Desktop, highlighting its utility in integrating AI with web data.
Model Context Protocol (MCP) Server for the RAG Web Browser Actor
Implementation of an MCP server for the RAG Web Browser Actor. This server functions as a web browser for large language models and RAG pipelines, allowing AI assistants to perform web searches, scrape results, and return content as Markdown. It uses the Model Context Protocol to enable secure interactions between AI applications and external data sources.
Features
- Web search and scraping
- Fetch and return content of a URL as Markdown
Configuration
- Requires MacOS or Windows
- Compatible with Claude Desktop and other MCP clients
- Requires Node.js and Apify API Token
Development and Debugging
- Tools for local development, including MCP Inspector for debugging