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Generates images from text prompts using the Flux Schnell model via an MCP-compatible server.
Facilitates testing Model Context Protocol (MCP) Servers using Chainlit.
Implements a Model Context Protocol server featuring a simple notes system with creation, listing, and summarization capabilities.
Connects Ableton Live to Claude AI, enabling prompt-assisted music production and session manipulation.
Provides a structured framework for creating, validating, and optimizing AI prompts using the RISEN methodology.
Bridges SCIM 2.0 APIs, enabling Model Context Protocol (MCP) clients to interact with SCIM resources through standardized tools.
Provides AI assistants with access to World Cube Association (WCA) speedcubing data through an unofficial Model Context Protocol server.
Provides access to simplified `tldr` command-line documentation as an MCP server.
Expose existing REST APIs as Model Context Protocol (MCP) servers without writing any code.
Diagnoses and repairs Node.js project dependency conflicts through comprehensive analysis and automated fixes.
Exposes comprehensive Linux system metrics through a lightweight server for Model Context Protocol (MCP) tools.
Reduces Claude API cost by compiling and optimizing prompts for maximum impact and minimum token usage.
Generates code and manages development tasks through agentic AI, intelligent planning, and MCP server integration.
Enables AI-powered querying and analysis of Paraguayan legislation for legal research and compliance.
Control Tidal from your terminal, enabling comprehensive search, playlist management, library interaction, and playback via the Tidal API v2.
Deploys AI agents with realistic user personas to validate user journeys and identify UX friction at scale.
Monitors and manages real-time AI agent token usage and spending with budget alerts, detailed cost breakdowns, and a visual dashboard.
Provides a command-line interface and an MCP server for precise control and automation of FarmBot hardware.
Automates the scaffolding, review, alignment, and deployment of homelab server plugins following a canonical specification.
Leverage AI to understand and explain any software codebase, from architecture to key functionalities.
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