Enables AI agents to safely explore directories, read files, search content by pattern or filename, and edit files with checksum verification and dry-run preview within sandboxed filesystem access.
An MCP server that provides file and directory tools for LLMs, including project structure analysis, file reading, and project context resources, with support for .gitignore patterns.
An MCP server that provides a flexible lens into directory structures and files, enabling LLM clients to efficiently navigate and understand codebases with minimal noise. It offers secure, gitignore-aware file access with tools like directory listing, file reading, and grep-like search.
A local filesystem MCP server providing constrained file operations (read/write, directory management, search, metadata) within configurable directories, with read-only mode and zero runtime dependencies.
