mcp-server-client-demo
The Model Context Protocol (MCP) is a framework that allows developers to build AI applications using large language models (LLMs) by standardizing the connection between models and external data sources and tools. This repository contains demo code for both an MCP server and client, facilitating easy integration and deployment.
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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_tooldecorator. - 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.