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Why this server?
Enables AI assistants to create, read, edit, and format Microsoft Word documents through standardized tools and resources.
Why this server?
A Model Context Protocol server that manages prompt templates as markdown files with YAML frontmatter, allowing users and LLMs to easily add, retrieve, and manage prompts.
Why this server?
A Python server implementing the Model Context Protocol to provide customizable prompt templates, resources, and tools that enhance LLM interactions in the continue.dev environment.
Why this server?
A TypeScript-based MCP server that enables users to manage text notes with features like note creation and summary generation using a Model Context Protocol.
Why this server?
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.
Why this server?
Make drawings on a JavaFX canvas