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Restarts the Claude Desktop application on macOS via Model Context Protocol (MCP).
Manages software projects with integrated tracking, note-taking, and GitHub synchronization.
Manages persistent task storage and retrieval for AI assistants via the Model Context Protocol (MCP).
Automates end-to-end requirement management and development workflows within Feishu project systems.
Enables interaction with the Agenda app on macOS through Claude AI for note creation and project management via x-callback-urls.
Provides example implementations of Model Context Protocol (MCP) servers for use with Cursor IDE, enabling enhanced AI capabilities with custom tools and data sources.
Integrates TickTick task management service with MCP clients.
Guides AI coding agents through structured development workflows using dynamic YAML-driven guidance.
Exposes SmartThings helper tools via a Model Context Protocol server.
Automates preliminary code feedback, including syntax checking, code explanation, and improvement suggestions, via a multi-agent system.
Extends AI agents like Claude with comprehensive GitHub management capabilities for repositories, issues, pull requests, and actions.
Provides structured metacognitive protocols to help AI agents recover from getting stuck without human intervention.
Automate the management of Italian electronic invoices through natural language commands via AI assistants like Claude.
Indexes and analyzes multi-language codebases to provide real-time quality, security, and architectural insights for AI assistants.
Empowers AI agents to interact with local code and data through an optimized Python-based Model Context Protocol server.
Integrates external AI tools and services with Claude Code through standardized Model Context Protocol (MCP) servers.
Integrate Outline knowledge bases with Claude Code and other MCP clients for AI-driven document management.
Perform fast, local, and private semantic code search within your codebase using natural language queries, seamlessly integrating with AI coding agents.
Orchestrates principled software development workflows by leveraging and managing multiple AI coding assistants.
Empowers AI assistants to diagnose Java application performance, analyze threads, and inspect JFR recordings using integrated JDK utilities.
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