A dynamic server that automatically discovers and executes scripts from a tools directory as isolated processes using the MCP protocol. It enables users to easily extend server capabilities by adding new tool scripts that communicate via JSON.
MCP server that exposes local Python scripts as tools for AI clients (e.g. Claude Desktop), enabling directory tree generation, Excel-to-text conversion, Python code extraction, and text file merging.
A dynamic MCP server implementation that automatically loads tools, resources, and prompts from their respective directories, allowing for easy extension and configuration.
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 hot-reloadable MCP proxy server that enables users to create and manage custom Python tools through dynamic module loading. Users can build their own utilities, wrap APIs, and extend functionality by simply adding Python files to designated folders.