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 client 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.