Enables AI agents and LLMs to perform comprehensive file system operations including CRUD, search, archive, hashing, and duplicate detection via the Model Context Protocol.
A Model Context Protocol implementation that enables AI assistants to interact with markdown documentation files, providing capabilities for document management, metadata handling, search, and documentation health analysis.
Enables AI to manage Obsidian notes, including creation, reading, updating, deletion, full-text search, listing with filtering, sorting, and metadata extraction via the Model Context Protocol.
Provides persistent, project-specific memory to AI assistants via the Model Context Protocol, enabling context-aware collaboration across sessions without cloud dependencies.
Enables AI agents to manage hierarchical tasks and stories stored as Markdown files, providing tools for creating, listing, editing, and updating task status through the Model Context Protocol.