Example FAQs

Question 1

How does Example facilitate AI assistant capabilities?

Accepted Answer

It provides robust tool integration, controlled access to external resources, and standardized prompt templates, significantly expanding an AI assistant's ability to interact with the external world.

Question 2

What is Example?

Accepted Answer

Example is a boilerplate Model Context Protocol (MCP) server implementation. It enables AI assistants and applications to securely connect to external tools, data sources, and resources.

Question 3

What are the core technologies used in Example?

Accepted Answer

Example is built with TypeScript and Express.js, utilizing streamable HTTP transport. It's containerized with Docker and optimized for deployment on AWS AppRunner.

Question 4

Can I customize Example for my specific AI integration needs?

Accepted Answer

Absolutely. Example is a boilerplate that allows easy customization. You can readily add new tool definitions, resource handlers, and prompt templates to fit your project's unique requirements.

Question 5

Is Example easy to deploy and manage?

Accepted Answer

Yes, it's designed for streamlined deployment with AWS AppRunner configuration, Docker containerization (production and development), and GitHub Actions CI/CD workflows for automated updates.

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