Frequently Asked Questions (FAQ) about MCP Server

Q: What is an MCP Server?

A: MCP Server is a tool that generates Master Content Plans (MCPs) based on a given topic. It aggregates resources from the web and organizes them into structured learning paths.

Q: What kind of topics can MCP Server generate content plans for?

A: MCP Server can generate learning paths for any topic, not just technology-related ones. It supports a wide range of subjects, including history, finance, health, and more.

Q: Does MCP Server support multiple languages?

A: Yes, MCP Server supports multiple languages, with a primary focus on Portuguese.

Q: How does MCP Server ensure the relevance of the resources it includes in a content plan?

A: MCP Server uses TF-IDF (Term Frequency-Inverse Document Frequency) based resource relevance filtering to ensure that the resources match the requested topic.

Q: Can I customize the number of resources and nodes in a generated content plan?

A: Yes, you can customize the maximum number of resources and the number of nodes in the learning path using the max_resources and num_nodes parameters in the API request.

Q: What is the asynchronous task system used for?

A: The asynchronous task system improves user experience and avoids timeouts by handling long-running operations in the background and providing real-time progress feedback.

Q: How does the caching system improve performance?

A: The caching system stores results for repeated queries, significantly improving response times and reducing server load.

Q: What is web scraping optimization, and how does it help?

A: Web scraping optimization involves techniques that efficiently extract data from websites, reducing resource usage and improving performance. The MCP Server uses adaptive scraping system which automatically chooses the most efficient scraping method for each website.

Q: What is the Puppeteer instance pool, and what benefits does it offer?

A: The Puppeteer instance pool reuses browser instances to reduce memory usage and startup time, making web scraping more efficient.

Q: How can I integrate MCP Server with UBOS?

A: You can connect MCP Server to your UBOS environment as a data source, integrate it into your AI Agent workflows, build custom AI Agents that leverage the MCP Server’s content curation capabilities, and incorporate it into your Multi-Agent Systems.

Q: Where can I find the API documentation for MCP Server?

A: Detailed API documentation is available in the docs folder of the repository, including API Reference, Endpoints Reference, and guides for Flutter Integration, Async Tasks System, Performance Improvements, Caching System, and Web Scraping Optimization.

Q: What are the key performance improvements of MCP Server?

A: The key performance improvements include a 60-80% reduction in response time for topics already in cache, a 30-50% reduction in response time for new topics, a 40-60% reduction in memory usage during web scraping, and a 3-5x increase in throughput for simultaneous requests.