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Enables local video searching, tailoring, stitching, and playback using FFmpeg command-line via a convenient interface.
Generates high-quality UI components instantly from natural language descriptions, leveraging shadcn-vue and Tailwind CSS.
Empowers large language models with real-world visual perception through image object detection, localization, and captioning APIs.
Provides a secure, unified memory layer that enables AI applications to retain context and preferences across multiple platforms.
Manipulates Xcode project files programmatically using the Model Context Protocol.
Connects RStudio to Claude AI, enabling interactive coding sessions where Claude can execute R code and visualize results in real-time.
Connects Claude Desktop to a Redmine instance, enabling interaction with Redmine's API via natural language.
Enables AI assistants to securely interact with Bitwarden password manager functionality for vault management and organization administration.
Discovers and evaluates candidate image-based biomarkers from gigapixel histopathology slides using an end-to-end, weakly-supervised deep-learning pipeline.
Deploy intelligent multi-agent swarms and coordinate autonomous workflows in an advanced agentic development environment.
Integrates MATLAB functionality directly into AI applications, enabling AI agents to control, execute, and analyze MATLAB code.
Empowers AI agents to efficiently navigate and search codebases semantically, significantly reducing token consumption.
Connect to Miro Whiteboard Application and enable board manipulation and data extraction.
Manages, stores, and provides prompts and prompt templates for interactions with large language models.
Enables AI agents to access and manage Raindrop.io bookmarks through the Model Context Protocol (MCP).
Automates context management and agent orchestration for AI coding agents directly within your Git repository.
Enhances Claude Code MCP with orchestration, reliability improvements, and self-contained execution patterns.
Connects GoHighLevel sub-account API endpoints with AI automation systems using the Model Context Protocol.
Enables LLMs to interact with applications and navigate complex service hierarchies through a declarative Agentic AI framework.
Indexes codebases locally as an MCP service, enabling semantic search and integration with AI development tools like Claude Code and Gemini CLI.
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