mcp-server
If you are the rightful owner of mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
A scalable and modular Model Context Protocol (MCP) server implementation using Python.
The MCP Server is a Python-based implementation designed to facilitate the discovery and invocation of AI model tools through a standardized protocol. It is built to be scalable and modular, allowing for easy integration and management of various tools. Each tool is implemented as a separate Python module, making the server highly customizable and adaptable to different use cases. The server supports the addition of new tools by simply creating new Python files with functions decorated with the @tool decorator. This design ensures that the server can be easily extended and maintained, providing a robust solution for managing AI model tools.
Features
- Scalable architecture for handling multiple tools and requests.
- Modular design allowing easy addition and management of tools.
- Standardized protocol for tool discovery and invocation.
- Python-based implementation for easy integration and customization.
- Support for dynamic tool loading using the @tool decorator.