Frequently Asked Questions about MCP Server for Web Crawling

Q: What is MCP Server? A: MCP Server (Model Context Protocol Server) acts as a bridge, allowing AI models to access and interact with external data sources, specifically web crawl data and archives. It uses the Model Context Protocol (MCP) to standardize how applications provide context to LLMs.

Q: How does MCP Server work with web crawlers? A: MCP Server supports various web crawlers, including WARC, wget, InterroBot, Katana, and SiteOne. It allows AI models to search and filter web content collected by these crawlers.

Q: What are the key features of MCP Server? A: Key features include Claude Desktop readiness, full-text search support, filtering by type and status, multi-crawler compatibility, and quick MCP configuration. ChatGPT support is also coming soon.

Q: What is the Model Context Protocol (MCP)? A: MCP is an open protocol that standardizes how applications provide context to Large Language Models (LLMs), enabling them to interact with external data and tools effectively.

Q: What type of data sources does MCP Server support? A: MCP Server is primarily designed for web crawl data stored in formats like WARC files, wget archives, InterroBot databases, Katana archives, and SiteOne archives (with archiving enabled).

Q: How do I install MCP Server? A: You can install MCP Server using pip: pip install mcp-server-webcrawl.

Q: How do I configure MCP Server to work with Claude Desktop? A: You need to modify the Claude Desktop configuration file (File > Settings > Developer > Edit Config) and add an mcpServers entry with the appropriate command and arguments. The arguments vary based on the crawler you are using.

Q: What is the datasrc argument in the MCP configuration? A: The datasrc argument specifies the location of your web crawl data. Its value depends on the crawler used (e.g., the parent directory of WARC files or the path to the InterroBot database).

Q: Does MCP Server work on macOS? A: Yes, but macOS users need to use the absolute path to the mcp-server-webcrawl executable in the command field of the MCP configuration. You can find this path using the which mcp-server-webcrawl command in the Terminal.

Q: What are some use cases for MCP Server? A: Use cases include competitive analysis, market research, lead generation, brand monitoring, knowledge base creation, and content summarization/generation.

Q: Is MCP Server free and open-source? A: Yes, MCP Server is free and open-source.

Q: How does UBOS integrate with MCP Server? A: UBOS allows you to connect to your data through MCP Server, define data access protocols, build custom AI agents, orchestrate multi-agent systems, and deploy/manage your agents and the server seamlessly.