mcp-server-client-demo

S1LV3RJ1NX/mcp-server-client-demo

3.4

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The Model Context Protocol (MCP) is a framework that connects large language models (LLMs) with external data sources and tools, facilitating the development of AI applications.

Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a powerful framework that enables developers to build AI applications with large language models (LLMs) by providing a standardized way to connect models with external data sources and tools.

MCP is nothing but a protocol to connect LLMs with external data sources and tools (functions).

MCP Server

This repository contains the code for setting up a demo MCP server. It contains:

  • A stateless MCP server with streamable HTTP transport for scalable production deployment.
  • Auto tool registry with @mcp_tool decorator.
  • Docker file to containerize the server.
  • Server can be run locally or in docker and deployed to any cloud provider.

Setup

  • Install uv
curl -LsSf https://astral.sh/uv/install.sh | sh
  • Install dependencies
uv sync

MCP Client

This repository contains the code for setting up a demo MCP client with OpenAI SDK. Refer to the for more details.

Note: For ease of understanding, both server and client are in the same repository, you can easily keep them in separate repositories / projects.