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Enables AI assistants to control Spotify playback and manage playlists via the Model Context Protocol.
Provides Ant Design component documentation to large language models, enabling them to understand and utilize Ant Design components effectively.
Enables AI assistants to interact with and manage Google Cloud Platform resources using natural language.
Builds Model Context Protocol (MCP) servers elegantly using a TypeScript framework.
Enables Dify 1.0 to fetch and call tools via the MCP protocol using HTTP with SSE transport.
Implements Claude Code's software engineering capabilities as a Model Context Protocol (MCP) server.
Visualizes directories and their contents with AI-optimized output formats for enhanced readability and token efficiency.
Extends the capabilities of MCP-enabled LLM AI applications with various servers implemented in Java using the Quarkus framework.
Manages n8n workflows via natural language integration with Claude AI and Cursor IDE.
Enables Java AI application development for various scenarios, supporting LLM, Function Call, RAG, and more.
Provides line-oriented text file editing capabilities through a standardized Model Context Protocol (MCP) API.
Intelligently handles clipboard operations on macOS, unifying text and file copying for seamless pasting into GUI applications directly from the terminal.
Executes Python code in isolated, rootless containers, serving as an MCP server with optional proxying capabilities for external MCP tools.
Manage Proxmox hypervisors through a Model Context Protocol server, providing a clean interface for nodes, VMs, and containers.
Connects to a locally running Anki to provide card review and creation capabilities.
Provides an MCP server to load and expose Anthropic-style skills for non-Claude clients.
Create visual novel games using Next.js and Electron with flexible UI styling via JSX and CSS.
Enables interaction with the Dynatrace observability platform directly within development workflows.
Enables seamless integration with SonarQube Server or Cloud and allows for code snippet analysis within the agent context.
Connect to various Model Context Protocol (MCP) servers and AI models through a unified command-line interface.
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