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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
Why this server?
A tutorial MCP server implementation that provides country information, demonstrating the Model Context Protocol for building AI-powered applications with external service integration capabilities.
Why this server?
Helps refine AI-generated content to sound more natural and human-like. Built with advanced AI detection and text enhancement capabilities.
Why this server?
Obsidian vault connector for Claude Desktop - enables reading and writing Markdown notes using Model Context Protocol (MCP)
Why this server?
MCP OpenVision is a Model Context Protocol (MCP) server that provides image analysis capabilities powered by OpenRouter vision models. It enables AI assistants to analyze images via a simple interface within the MCP ecosystem.