mcp-server-client-demo
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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.
The Model Context Protocol (MCP) server is designed to provide a standardized interface for integrating large language models (LLMs) with various external data sources and tools. This protocol allows developers to build scalable AI applications by leveraging the capabilities of LLMs in conjunction with external functionalities. The MCP server is stateless and supports streamable HTTP transport, making it suitable for production environments. It includes features such as an auto tool registry, which simplifies the process of integrating new tools using the `@mcp_tool` decorator. The server can be easily containerized using Docker, allowing for flexible deployment options across different cloud providers. Additionally, the repository includes a demo MCP client that utilizes the OpenAI SDK, providing a comprehensive setup for developers to experiment with and understand the protocol's capabilities.
Features
- Stateless MCP server with streamable HTTP transport for scalability.
- Auto tool registry with `@mcp_tool` decorator for easy tool integration.
- Docker file included for containerization and flexible deployment.
- Compatible with various cloud providers for deployment.
- Demo MCP client with OpenAI SDK for testing and experimentation.