Demo Server FAQs

Question 1

What types of examples does the Demo Server offer?

Accepted Answer

It provides a comprehensive suite of examples, including practical tools (calculator, file operations, weather, timestamp), demonstrative resources (server configuration, system information, documentation), and reusable prompt templates (code review, documentation, debug assistant).

Question 2

What is the Demo Server?

Accepted Answer

The Demo Server is a production-ready Model Context Protocol (MCP) server implemented in Python. It's designed to showcase best practices for integrating Large Language Models (LLMs) with external tools, resources, and reusable prompt templates.

Question 3

What is the Model Context Protocol (MCP)?

Accepted Answer

MCP is an open protocol that standardizes how applications provide rich context to Large Language Models (LLMs). This context includes executable functions (Tools), readable data sources (Resources), and reusable instructional templates (Prompts).

Question 4

What best practices are highlighted in the Demo Server's implementation?

Accepted Answer

The server rigorously adheres to best practices such as robust input validation and error handling using Pydantic schemas, type safety, structured logging, and efficient async patterns, ensuring a high-quality and maintainable codebase.

Question 5

How can I integrate the Demo Server with an LLM client like Claude Desktop?

Accepted Answer

After installing the Demo Server, you can integrate it by adding its command and arguments to the `mcpServers` section of your LLM client's configuration file (e.g., Claude Desktop's `claude_desktop_config.json`), enabling the LLM to utilize its defined capabilities.

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