Lizeur (PDF OCR)

Desktop Commander

Official

Desktop Commander MCP transforms Claude Desktop into a powerful AI assistant for managing files, running terminal commands, and editing code with precision across your entire system. It supports in-memory code execution, interactive process control, advanced search and replace, plus comprehensive filesystem operations including reading from URLs and negative offset file reads. With detailed audit and fuzzy search logging, it enables efficient automation, data analysis, and multi-project workflows—all without extra API costs. Designed for developers seeking smarter automation, it enhances productivity by integrating all essential development tools into a single, intelligent chat interface.

Securely extracts text, metadata, and page information from PDF files within a project directory using pdfjs-dist for both local files and remote URLs.

Provides secure, controlled filesystem operations within a project's root directory, enabling safe file listing, reading, writing, and searching with robust path validation.

Provides high-performance text search capabilities by wrapping ripgrep, enabling powerful file exploration, pattern matching, and content discovery across local filesystems.

Integrates Google Drive and Sheets functionality for file operations and spreadsheet data manipulation.

Provides tools for splitting large JSON files into manageable chunks and merging multiple JSON files into a consolidated output for efficient data processing workflows.

Provides a bridge between Windows and Linux environments by enabling access to WSL filesystem operations, allowing seamless reading, writing, editing, and management of files within WSL distributions directly from Windows.

Integrates with Obsidian vaults, enabling natural language queries and updates to notes through secure read/write access.

Provides streaming-based file operations with auto-chunking for memory-efficient handling of large files, including sequential reading, precise line-based editing, batch operations, archive compression, and backup mechanisms with retry logic.

Integrates with YouTube using yt-dlp to enable downloading of videos and subtitles for content analysis and processing tasks.

Integrates Ollama's local LLM models with MCP-compatible applications, enabling on-premise AI processing and custom model deployment while maintaining data control.

Integrates with Penpot's API to enable project browsing, file retrieval, object searching, and visual component export with automatic screenshot generation for converting UI designs into functional code.

Experience seamless AI-powered 3D modeling by connecting Blender with Claude AI via the Model Context Protocol. BlenderMCP enables two-way communication, allowing you to create, modify, and inspect 3D scenes directly through AI prompts. Control objects, materials, lighting, and execute Python code in Blender effortlessly. Access assets from Poly Haven and generate AI-driven models using Hyper3D Rodin. This integration enhances creative workflows by combining Blender’s robust tools with Claude’s intelligent guidance, making 3D content creation faster, interactive, and more intuitive. Perfect for artists and developers seeking AI-assisted 3D design within Blender’s environment.

Bridges local llama-server instances with MCP clients, providing chat interface, health monitoring, and configurable generation parameters for integrating llama.cpp models with desktop applications

MoviePy-based video editing server that provides comprehensive video and audio processing capabilities including trimming, merging, resizing, effects, format conversion, YouTube downloading, and text/image overlays through an in-memory object store for chaining operations efficiently.

Integrates with Ollama for local large language model inference, enabling text generation and model management without relying on cloud APIs.

Integrates with n8n workflow automation platform to enable natural language workflow creation, management, and deployment with encrypted credential handling, role-based access control, and automated testing capabilities.

Extracts text from videos and audio files across platforms like YouTube, Bilibili, TikTok, Instagram, Twitter/X, Facebook, and Vimeo using Whisper speech recognition for transcription, content analysis, and accessibility improvements.

Provides a structured thought process management system for maintaining explicit reasoning steps, policy verification, and tool output analysis through persistent memory storage

Integrates with LlamaIndexTS to provide access to various LLM providers for code generation, documentation writing, and question answering tasks