mcp_demo
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A demonstration of the Model Context Protocol (MCP) implementation with Python, featuring both client and server components for AI model interaction.
The MCP Demo is a Python-based implementation of the Model Context Protocol, designed to facilitate interaction between AI models and clients. It includes both client and server components, allowing users to run the application in various modes such as Standard, Debug, and SSE. The demo provides a comprehensive setup for developers to test and interact with AI models using the MCP framework. With easy installation and configuration, users can quickly get started and explore the capabilities of MCP in a controlled environment.
Features
- Client and Server Components: Includes both client and server scripts for complete interaction.
- Multiple Modes: Supports Standard, Debug, and SSE modes for flexible operation.
- Easy Installation: Dependencies can be installed using a simple command.
- Configurable MCP Settings: Allows setting of MCP endpoint for customized interactions.
- Development Tools: Includes tools like MCP Inspector for debugging and development.
Tools
MCP Inspector
6274/#tools` Visit