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    Enables secure execution of shell commands and file operations within isolated Docker containers. Provides process management, interactive input handling, and comprehensive file system operations for containerized development environments.
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    Enables Claude to create, edit, run, and manage reusable skills stored locally, including executing scripts with automatic dependency management and environment variables. Works across all MCP-compatible clients like Cursor, Claude Desktop, and claude.ai.
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    Enables AI agents to deploy applications and manage servers over SSH using natural language commands, with built-in tools for Python bots, Docker Compose, and SSL setup.
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    MIT
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    A local-first PDF tool for merging, splitting, rotating, watermarking, Bates-numbering, cleaning metadata, and counting pages — all operations happen on your machine with no network transmission.
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    Converts dense PDFs into soft, minimal, card-based HTML readers with preserved source text, rendered pages, and cropped tables/figures as images, all processed locally.
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    Enables comprehensive local file system operations including searching and reading content from various formats like PDF, Office documents, CSV, and text files. It features automatic character encoding detection and secure path validation for directory access.
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    MCP server for the Rclone RC API. Gives AI assistants the ability to manage cloud storage remotes, copy/sync files, list directories, and more — all through natural language.
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    Enables personal project documentation management through local markdown files stored in nested directories. Supports organizing context by project and layer (backend/frontend/fullstack) with search functionality across all documentation files.
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    A local-first MCP server that provides AI agents with safe codebase access through file discovery, hybrid lexical-semantic search, and project introspection. It features durable local memory and semantic indexing while keeping all data and processing entirely on your local machine.
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    Provide all changes of the specified signal name to the model's context. This is useful for large waveform files with many signals where you cannot fit the entire VCD file into the model's context window.
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    Provides LLMs with safe, read-only access to local codebases for searching, reading files, and finding function definitions. All source code remains local, ensuring privacy while enabling AI assistants to explore project structures and functionality.
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    A Model Context Protocol server that provides AI assistants with real-time data about Compresto's file compression app usage statistics, including total users, processed files, and total size reduced.
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    Enables AI assistants to generate high-quality images using OpenAI's DALL-E 3 model with configurable parameters like size, quality, and style. Generated images are automatically saved to the local filesystem with comprehensive error handling.
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    An experimental MCP server that enables AI assistants to interact with VS Code workspaces through file operations, code execution, and Git management. It also provides tools for Docker integration, project scaffolding, and secure command execution using project-specific configurations.
    Last updated
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    MIT