An MCP server that exposes filesystem operations — listing directories, reading, writing, and searching files — as tools an LLM can discover and invoke at runtime.
A tutorial MCP server for learning the Model Context Protocol by building file and system tools. Provides hands-on experience creating custom tools that enable AI models to interact with files and execute system commands.
A secure, Dockerized MCP server enabling AI assistants to perform file and directory CRUD operations like read, write, edit, search, and manage local files via natural language.
An AI-powered developer assistant MCP server that provides filesystem tools (list_files, read_file, search_files, write_file) to help AI agents inspect, analyze, and modify real codebases via the Model Context Protocol.
A read-only MCP server that enables AI assistants to search files, list directories, retrieve system info, and get file metadata on the local file system.