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Standardizes access to over 20 NASA data sources through a single, consistent interface for AI models.
Discovers and documents MCP Server capabilities using a command-line interface.
Analyzes and queries GitHub repositories using the GitHub Chat API.
Provides a hands-on training program for security practitioners to build AI-powered tools for threat detection, incident response, and security automation.
Manages courses, assignments, enrollments, and grades within Canvas using the Canvas API.
Facilitates the creation of structured documentation systems for AI assistants, enabling context preservation using the Memory Bank pattern.
Provides AI assistants with curated access to latest development documentation and best practices.
Provides AI assistants direct access to 18 chapters of software architecture knowledge from the Gentleman Programming Book via the Model Context Protocol.
Enables AI agents to visualize and understand code, architectures, and system flows through on-demand diagram generation.
Enables AI-powered web research through Perplexity's interface without requiring an API key.
Empowers intelligent CFD education and expert problem-solving using OpenFOAM with AI-driven Socratic questioning and error resolution.
Enables LLMs to interact with and manage bookmarks stored in Raindrop.io using the Model Context Protocol.
Enables Large Language Models to interact with and retrieve information from Hugging Face's models, datasets, and other resources.
Demonstrates an application exclusively accessible via the Model Context Protocol (MCP).
Provides an MCP server to search and retrieve your Claude Code conversation history, enabling quick access to past solutions and insights.
Provides AI coding agents with always-up-to-date, version-specific package documentation as context.
Learn to build AI-infused applications using Quarkus and LangChain4j through a guided workshop.
Provides AI assistants with real-time, up-to-date Flutter and Dart documentation, including comprehensive pub.dev package information.
Conducts iterative, deep research using search engines, web scraping, and Gemini LLMs to create an AI Research Agent.
Facilitates learning the Model Context Protocol (MCP) through interactive examples and guided tutorials.
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