MCPs and ADKs
by thidaskaveesha
This repository explores popular agent development kits to evaluate their development process and user experience. It focuses on comparing different ADKs, including Google's ADK and FastMCP.
Last updated: N/A
What is MCPs and ADKs?
This repository is a comparison of different agent development kits (ADKs) and their usability.
How to use MCPs and ADKs?
The repository provides examples and instructions on how to use specific ADKs. For Google ADK, it mentions the need for a .env file with API key configuration. For FastMCP, it expresses a preference.
Key features of MCPs and ADKs
Comparison of ADKs
Examples of ADK usage
Configuration instructions
Evaluation of development process
Evaluation of user experience
Use cases of MCPs and ADKs
Choosing the right ADK for a project
Learning how to use different ADKs
Understanding the pros and cons of each ADK
Developing AI agents
Experimenting with agent development
FAQ from MCPs and ADKs
What is an ADK?
What is an ADK?
An Agent Development Kit (ADK) is a set of tools and libraries that help developers build AI agents.
Which ADKs are compared in this repository?
Which ADKs are compared in this repository?
This repository compares Google ADK and FastMCP.
How do I configure the Google ADK?
How do I configure the Google ADK?
You need to create a .env file with GOOGLE_GENAI_USE_VERTEXAI and GOOGLE_API_KEY variables.
Which ADK is preferred in this repository?
Which ADK is preferred in this repository?
FastMCP is currently preferred by the author.
Where can I find more information about each ADK?
Where can I find more information about each ADK?
You can refer to the official documentation and examples for each ADK.