Model Context Protocol Server

Example Use Cases

• 1

  Call external tools or services during language model interactions.

• 2

  Access and utilize external data resources like quizzes or files.

• 3

  Generate or use prompt templates dynamically based on context.

Description

This MCP server implements a client-server protocol to facilitate interaction between large language models and external tools, resources, and prompt templates. It supports multiple transport layers including SSE over HTTP and stdin for local communication. The server can be implemented using FastMCP for quick setup or low-level APIs for custom implementations, providing flexibility and extensibility for various AI applications.