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Enables Large Language Models (LLMs) to interact with and manipulate Google Sheets.
Connects AI models to Linear for issue tracking and project management via the Model Context Protocol.
Manages Jira tickets using natural language commands or direct forms through a Streamlit interface with MCP integration.
Pauses execution for a specified duration, providing progress reporting during the wait.
Facilitates code review by fetching and applying custom coding guidelines, validation rules, and security standards.
Integrates RAGFlow's knowledge base querying and document management capabilities directly into Claude Desktop.
Integrates Spotify with Claude Desktop, enabling intelligent music search, playback, and library management through natural language prompts.
Manages ZenTao bugs by providing capabilities for product search, bug querying, and resolution.
Analyzes text for readability and AI-like patterns to help writers improve their craft.
Orchestrates interactive command-line interface agents using a tmux-backed agent pool and a Model Context Protocol (MCP) server.
Perform understanding-based code searches across your codebase, replacing traditional text-based search tools with semantic capabilities.
Exposes a static library of Claude Code Skills to dynamic AI agents via the Model Context Protocol.
Transforms Claude into an intelligent system administrator for Msty Studio Desktop, enabling natural language management of AI models and configurations.
Empowers AI coding agents with persistent memory, enabling them to learn from corrections and maintain consistent behavior across sessions.
Translates Chinese legal regulations and logic into machine-actionable code for AI agents, enabling compliance and legal understanding.
Provides a persistent, sandboxed Python workspace for codebase exploration, reducing LLM context usage by keeping raw file data server-side and returning only concise summaries.
Empowers AI agents to automate SAP GUI interactions and workflows through a standardized Model Context Protocol server.
Provides persistent memory and project context to enhance AI coding agents' efficiency across development sessions.
Enables AI assistants to access an OpenViking knowledge base, facilitating semantic search and document retrieval capabilities.
Interact with Discord, syncing messages to a local database, performing offline searches, and sending messages directly from your terminal.
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