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Enables modification of files through a Model Context Protocol server.
Facilitates RapidAPI server deployment and debugging within the Claude environment.
Enables network subnet and port scanning through natural language prompts within Claude Desktop.
Facilitates simple multiple client processes using Langgraph.
Facilitates taxi ordering through a call center agent.
Orchestrates and manages multiple AI agents built on Agentica for scalable, LLM-centric interactions.
Facilitates querying large sports-themed question answering datasets via the Model Context Protocol.
Provides an experimental Python microservice for urban beehive management, designed to explore modern async web development and clean architecture.
Generates and saves images using Google's Gemini API, optionally guided by input images.
Automates the logging, intelligent analysis, and documentation of Claude Code conversations for enhanced problem-solving and knowledge retention.
Extracts and vectorizes Cursor IDE chat history, enabling efficient search via a Dockerized FastAPI API with LanceDB.
Provides a comprehensive document parsing solution, supporting various office formats, OCR, and AI-driven semantic search for integration with AI assistants.
Enables AI agents to efficiently manage GitLab operations with substantial token savings.
Enables AI assistants to remotely manage and control LM Studio models.
Provides runtime defense for AI agents by intercepting prompts and LLM responses through a pipeline of inline defenses and output scanners.
Integrates Observium CE network monitoring data with large language models, enabling natural language queries for device status, traffic, sensors, alerts, and trends.
Enables AI agents to control Android devices with full vision via ADB and scrcpy for efficient interaction.
Integrates ALCops AL code analysis into AI assistants, allowing platforms like Claude and Cursor to analyze Business Central AL projects.
Provides AI assistants with a persistent memory and identity layer to enhance conversational context across multiple platforms.
Annotates any web page with interactive hover labels and element names, enabling precise communication between humans and AI assistants without requiring browser extensions or code changes.
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