Digital Duck Demo FAQs

Question 1

What are the prerequisites to run the demo?

Accepted Answer

You'll need Python, Conda, and Git. You'll also need to install the required Python packages listed in `requirements.txt`. The demo includes setup instructions for Gemini and AWS, which may require API keys or credentials for those services.

Question 2

What can I learn from the Digital Duck Demo?

Accepted Answer

You can learn how to implement an MCP server with various tools, build different types of MCP clients (including those using LLMs), and set up the demo using Gemini or AWS. It provides practical examples for building agents that interact with tools and resources.

Question 3

What is FastMCP?

Accepted Answer

FastMCP is a Pythonic library that enables quick building of MCP servers and clients. It's used in the Digital Duck Demo to provide a fast and efficient implementation of the MCP protocol.

Question 4

What is the Digital Duck Demo?

Accepted Answer

It's a demonstration of Model Context Protocol (MCP) server and client implementations using FastMCP. It includes examples with tools like a calculator and the Yahoo Finance API, showcasing different client types (simple, LLM-based, and LLM-resource based).

Question 5

Does this tool demonstrate advanced MCP features?

Accepted Answer

Yes, through Fast Agent integration, the tool supports advanced MCP features, including sampling which aids in creating sophisticated Agents and Workflows. It supports both Anthropic and OpenAI models.

Digital Duck Demo

About

Key Features

Use Cases

Digital Duck Demo

About

Key Features

Use Cases