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Enables AI assistants to extract structured information from unstructured text using Google's langextract library through an optimized Model Context Protocol interface.
Provides LLMs and AI agents with enhanced, secure, and advanced access to Obsidian vaults for comprehensive note and file management.
Converts HTML content from URLs or raw input into clean, formatted Markdown using Turndown.js.
Provides AI assistants with a comprehensive suite of weather-related tools, including current conditions, forecasts, and air quality data.
Integrates FreeCAD with AI assistants via the Model Context Protocol for AI-assisted 3D model, macro, and workbench development and debugging.
Automates the generation of LinkedIn post drafts from YouTube videos by extracting transcripts, summarizing content, and creating engaging posts.
Enables AI agents to automate desktop tasks by controlling mouse, keyboard, and screen interactions.
Empower AI assistants to execute PowerShell commands and access the entire PowerShell ecosystem via secure local communication.
Provides text-to-speech functionality on macOS using the built-in `say` command.
Enables natural language interaction with Microsoft Todo tasks through Claude.
Guides AI-powered IDEs through a comprehensive spec-driven development workflow, from goal setting to task execution.
Provides a Python package, command line interface, and MCP server to remotely control video players for MultiViewer For F1.
Integrates AI assistants with Odoo ERP systems, providing a standardized interface for managing Odoo records.
Provides an MCP server to expose REAPER Digital Audio Workstation functionality via a clean API.
Enables read-only access to iMessage data and macOS contacts via a Model Context Protocol (MCP) server for integration with other applications like Large Language Models.
Provides sandboxed file system access for AI agents to explore directories, read, search, and safely edit text-based files.
Exposes Fabric patterns as tools for AI-driven task execution within Cline.
Transforms an organization's documentation into an AI-powered knowledge base, offering instant answers via chat interfaces and AI assistant integrations.
Enables AI assistants to interact with Zammad tickets, users, and organizations through a standardized Model Context Protocol interface.
Provides AI assistants with a human-like temporal memory system, featuring natural forgetting curves and reinforcement.
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