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Downloads video and audio content from various online platforms for use with Large Language Models.
Enables interaction with Twitter through the Model Context Protocol.
Converts Markdown content into interactive mindmaps.
Securely executes stateful Python code in sandboxed environments designed to run indefinitely.
Enables AI assistants to discover and utilize Model Context Protocol (MCP) services based on natural language queries.
Enables AI models to perform Google searches and analyze webpage content programmatically through an MCP interface.
Enables Large Language Models to interact with Anki flashcard software through AnkiConnect using the Model Context Protocol.
Enables secure command-line interactions on Windows systems through the Model Context Protocol.
Enables cloud-based AI services to access local Stdio-based MCP servers via HTTP/HTTPS requests.
Enables AI assistants to retrieve and interpret real-time weather data via the Model Context Protocol.
Enables AI assistants to interact with Argo CD applications through natural language.
Enables interaction with the x64dbg debugger through a Model Context Protocol.
Simplifies the integration of AI plugins and external tools into open-source large language models (LLMs).
Provides tools and resources for accessing Effect documentation.
Integrates Google's Gemini AI capabilities into Claude Code, providing a powerful AI assistant with a massive context window for code analysis.
Visualizes directories and their contents with AI-optimized output formats for enhanced readability and token efficiency.
Facilitates AI coding agents in generating Flutter code by providing rich design data directly from Figma.
Establishes a privacy-first, local RAG server for AI coding assistants, enabling semantic search over personal documents without exposing data to external services.
Provides AI agents with full access to WordPress environments through direct PHP execution and filesystem operations.
Provides compact, efficient, and extensible long-term memory for LLM agents.
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