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Explores and demonstrates artificial intelligence concepts through proof-of-concept implementations.
Enables natural language interaction with local large language models to trigger custom Python-based tool executions.
Offers a starter template for Model Context Protocol (MCP) servers, allowing AI assistants like Puch to securely integrate with external tools and data sources.
Enables asking any question about image, audio, or video files, returning AI-powered answers via state-of-the-art multimodal models.
Unifies multiple AI API providers, enabling AI assistants to intelligently select the most suitable model for tasks within a single conversation.
Provides advanced vector store operations, document search, and information retrieval through a Model Context Protocol (MCP) interface.
Transforms natural language commands from large language models (LLMs) into ROS commands for robot control, enabling robots to perform complex tasks and adapt to various environments.
Converts REST APIs with Swagger/OpenAPI documentation into Model Context Protocol (MCP) tools, making them accessible to MCP-compatible clients.
Provides global public holiday data for AI assistants via the Calendarific API.
Provides AI assistants access to Hacker News data by acting as a bridge to its API.
Empowers AI assistants to adapt their responses and behavior intelligently based on the user's schedule and routines.
Accesses and provides real-time weather forecasts and active alerts for United States locations via the National Weather Service API.
Delivers a highly engineered retrieval-augmented generation system supporting diverse knowledge base search modalities.
Connects AI agents to Tibber's energy consumption and pricing data via the Model Context Protocol.
Exposes weather-related functionalities as modular tools for AI agents and LLMs via a simple server.
Connects AI agents to Odoo ERP systems, enabling data access and manipulation through a standardized interface.
Exposes Ghidra's core functionality as an MCP server, enabling Large Language Models to autonomously reverse engineer applications.
Analyzes application codebases with real-time file watching to provide deep insights for AI assistants.
Enables dynamic database querying through an LLM-powered chatbot system.
Facilitates AI access to Ogury's campaign reporting API for detailed performance metrics and reports.
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