Facilitates the creation of Model Context Protocol (MCP) servers and clients using Python.
Enables developers to build applications leveraging the Model Context Protocol. It offers utilities for setting up both the server and client components, including installation instructions, dependency management using uv, and configuration examples for connecting to services like Anthropic. The tool supports deployment and testing, making it easier to integrate contextual information into AI applications.
Key Features
010 GitHub stars
02Simplified server and client setup
03Configuration examples for connecting to AI services
04Supports deployment and testing
05Includes instructions for using MCP inspector
06Dependency management with uv
Use Cases
01Creating custom MCP servers
02Building AI applications that leverage contextual information
03Developing MCP clients to interact with various servers