Mcp Server Client Demo
What is Mcp Server Client Demo
mcp-server-client-demo is a demonstration project that showcases a Model Context Protocol (MCP) server and client using Server Side Events (SSE) and an automatic tool registry.
Use cases
Use cases include building chatbots, interactive AI applications, and any system that requires real-time data updates from a server to a client.
How to use
To use mcp-server-client-demo, clone the repository, set up the Docker environment as described in the Dockerfile, and follow the instructions in the README files for both the server and client.
Key features
Key features include Server Side Events (SSE) for real-time data streaming, an automatic tool registry using the @mcp_tool decorator, and integration with the OpenAI SDK for client-side operations.
Where to use
mcp-server-client-demo can be used in AI application development, particularly in scenarios that require interaction between large language models and external data sources.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Server Client Demo
mcp-server-client-demo is a demonstration project that showcases a Model Context Protocol (MCP) server and client using Server Side Events (SSE) and an automatic tool registry.
Use cases
Use cases include building chatbots, interactive AI applications, and any system that requires real-time data updates from a server to a client.
How to use
To use mcp-server-client-demo, clone the repository, set up the Docker environment as described in the Dockerfile, and follow the instructions in the README files for both the server and client.
Key features
Key features include Server Side Events (SSE) for real-time data streaming, an automatic tool registry using the @mcp_tool decorator, and integration with the OpenAI SDK for client-side operations.
Where to use
mcp-server-client-demo can be used in AI application development, particularly in scenarios that require interaction between large language models and external data sources.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
