A Model Context Protocol server built with FastMCP that enables dynamic tool loading and configuration from individual Python files. It provides a flexible framework for automatically discovering, testing, and running tools via Stdio or HTTP transport modes.
A Model Context Protocol server framework featuring dynamic tool loading and automatic tool discovery from a dedicated directory. It leverages FastMCP to provide a robust environment for building, configuring, and testing individual Python-based tools.
A production-ready Model Context Protocol server built with Python and FastMCP, featuring modular architecture, centralized tool registration, Docker support, and a suite of utility tools for AI applications.
A scalable, auto-discovering Model Context Protocol server that dynamically loads tools from the tools directory, enabling LLMs to access various capabilities through a standardized interface.
A Model Context Protocol (MCP) server built with the mcp-framework for developing and managing custom tools. It provides a structured foundation for building and integrating modular components like data processors and API clients into Claude Desktop.
