"Kasa Smart" matching MCP servers:

Enables LLM agents to find and safely delete duplicate files using content-based detection, with smart copy prioritization and dry-run mode.

Encoding-aware, indentation-smart file tools for AI coding agents. 20+ tools including read/edit with automatic encoding detection, smart indentation conversion, SSH, SFTP, process management, and system utilities.

Provides LLM-optimized filesystem access with intelligent file pagination for large files, lightning-fast ripgrep-powered code search with regex support, and security sandboxing to safely explore and search codebases.

A comprehensive MCP server for developers providing file operations, shell execution, git integration, and smart caching to enhance AI-assisted development.

Provides a universal read path for agents to extract facts, metadata, and provenance from local files and guarded remote URLs without using generative LLMs.

An AI-powered file management system that integrates with Claude Desktop to provide intelligent file analysis, multimedia processing, and automatic organization.

Reads PDF, image, or video files by sniffing format and delegating to specialized sibling MCP servers, extracting facts and metadata without LLMs.

Enables saving files and folders to a local NAS over NFS with automatic share discovery, smart mounting, and seamless file transfers.

Professional MCP Server with AST-powered code intelligence, high-performance search, and smart file operations.

Smart Tree MCP cuts storage by up to 95% using quantum-context compression — not just files, but full project histories. Track, compress, and version smarter with zero-bloat ops across Git, FS, and memory.

Enables AI models to read, create, and edit Korean HWPX documents with advanced support for tables, paragraphs, styles, and images. It features enhanced stability through atomic file writing and smart layout recalculation to prevent document corruption.

Enables AI agents to process images locally via file paths—converting, resizing, removing backgrounds, smart cropping, upscaling, reading or stripping metadata, and batch processing—without files ever leaving the device.

A lightweight MCP tool for directory tree visualization in Cursor, with smart filtering and customizable ignore/keep patterns.

A local smart tool collection based on MCP that enables AI assistants to perform file management, document editing, shell execution, semantic retrieval, and text processing.

Provides intelligent access to local music collections through advanced metadata management, album classification across 8 types, collection analytics, and smart search capabilities for AI-powered music library organization.

Lets AI assistants analyze and organize local directories by file type, with dry-run support and safe sorting.

A local-first MCP server that enables semantic search over PDF and DOCX documents using structure-aware parsing and vector storage. It allows users to query their local knowledge base through Claude Code without cloud dependencies or GPU requirements.

Enables intelligent file and folder comparison with advanced text normalization, duplicate detection, and line-level diff analysis. Provides secure workspace-constrained file operations with CRC32-based exact matching and smart text comparison capabilities.

MCP server for parsing .eml email files, extracting metadata, content, and attachments with smart organization into folders. Enables AI to read and handle email files offline without triggering trackers.

A smart, checkpoint‑based undo system for Claude Code. Automatically snapshots file states before modifications, deduplicates unchanged checkpoints, and enables lightning‑fast restoration so you can experiment confidently with AI‑driven edits.