Model-Context-Protocol FAQs

Question 1

What is Model-Context-Protocol (MCP)?

Accepted Answer

Model-Context-Protocol is a communication protocol designed for AI model interactions. This implementation provides a basic MCP server for educational purposes.

Question 2

How do I get started with the Model-Context-Protocol server?

Accepted Answer

Follow the 'Getting Started' instructions in the README. It involves setting up a virtual environment, installing dependencies, starting the server, and running the example client.

Question 3

What technologies are used in this MCP server implementation?

Accepted Answer

This MCP server utilizes FastAPI for WebSocket-based communication, Pydantic for message handling and data validation, and async/await for improved performance.

Question 4

Is this MCP server suitable for production use?

Accepted Answer

This is a basic implementation intended for educational purposes and demonstration. It might require further development and hardening for production environments.

Question 5

What are the key features of this MCP server?

Accepted Answer

Key features include WebSocket communication, MCP message handling using Pydantic models, model context management, and asynchronous support for better performance.

Model-Context-Protocol

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