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Manages `.clinerules` files through reusable components and persona templates with version tracking.
Enables Pinterest image searching and information retrieval within the Cursor IDE.
Enables Claude to perform Google searches and extract webpage content through a controlled Chrome browser instance.
Enables AI models to understand and analyze codebases through natural language conversations.
Facilitates the easy running, deployment, and connection to Model Context Protocol servers.
Locates the path to the 'uv' utility.
Facilitates structured problem-solving using a cognitive framework inspired by the Lotus Sutra.
Simplifies the creation of MCP-compatible servers with a FastAPI-like syntax, specialized for SSE.
Control your macOS computer with an AI agent using OS-level tools, compatible with any model.
Manages personal dotfiles configuration for a consistent development environment across different machines.
Execute KQL queries within AI prompts, analyze results, and visualize data from Kusto and Log Analytics.
Enables an ESP32-CAM to interact with AI/LLM applications by exposing camera, LED, and system controls via the Model Context Protocol.
Grounds AI coding assistants with local, official documentation for building reliable, secure, and observable AI agents with LangGraph.
Provides a command-line interface for interacting with the Horizon3.ai API, enabling automation of autonomous pentesting workflows.
Provides a Model Context Protocol server for seamless integration with Insforge, enabling advanced code context management for various developer clients.
Converts AI Skills (following Claude Skills format) into Model Context Protocol (MCP) server resources, making them accessible to large language model applications.
Provides a Model Context Protocol (MCP) server that leverages SerpApi for comprehensive search engine results and data extraction.
Extracts and transforms website documentation based on the llms.txt standard into structured, agent-ready formats for AI systems.
Captures AI agent corrections, extracts reusable behaviors, and activates them contextually to improve agent performance.
Provides an open-source, self-hosted semantic layer for AI agents, ensuring reliable and governed data outputs.
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