What is the Model Context Protocol (MCP) Server?
The MCP Server for the RAG Web Browser Actor is an implementation that allows AI applications to connect to external tools and data sources, enabling secure interactions between AI applications and resources.
How to use the MCP Server?
To use the MCP Server, configure it with Claude Desktop by editing the configuration file to recognize the MCP server, and then restart Claude Desktop. You can perform web searches by asking Claude to find information or analyze research papers.
Key features of the MCP Server?
- Enables web search and scraping of URLs to return cleaned content as Markdown.
- Fetches content from a single URL and returns it as Markdown.
- Supports integration with AI applications like Claude Desktop.
Use cases of the MCP Server?
- Performing web searches for information retrieval.
- Analyzing recent research papers on large language models (LLMs).
- Assisting AI agents in accessing external data sources securely.
FAQ from the MCP Server?
- What is the purpose of the MCP Server?
The MCP Server facilitates secure connections between AI applications and external resources, enhancing their capabilities.
- What are the prerequisites for using the MCP Server?
You need MacOS or Windows, Claude Desktop, Node.js (v18 or higher), and an Apify API Token.
- Can I test the MCP Server locally?
Yes, you can test the server locally using the provided example client and debugging tools.