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Imports Supernotes exports into Obsidian daily notes using the Model Context Protocol (MCP).
Provides structured, AI-friendly access to eRegulations API data for querying administrative procedures.
Documents the setup and configuration process for a GitHub Model Context Protocol (MCP) server.
Provides an intelligent search and retrieval system for Pybricks documentation and code examples.
Provides comprehensive access to Rust crate documentation and metadata from crates.io and docs.rs.
Provides a sample Model Context Protocol server offering tools to fetch public API data like quotes, jokes, and advice.
Delivers structured CPR training content, including lessons, videos, and reflective questions, via a JSON-RPC over HTTP server for AI assistants and applications.
Access real-time information about U.S. National Parks, including park details, alerts, activities, and facilities via the National Park Service API.
Orchestrates large language models through chained operations to build complex, multi-layered critical analyses of current affairs.
Transforms Markdown content into professionally styled PDF documents with support for syntax highlighting, custom CSS, Mermaid diagrams, and optional page numbers and watermarks.
Demonstrates a Model Context Protocol (MCP) server featuring example tools, resources, and prompts for Large Language Model (LLM) integration.
Demonstrates the Model Context Protocol (MCP) through a TypeScript server implementation.
Serves Python coding best practices and guidelines via a Model Context Protocol (MCP) server for general development and FastAPI APIs.
Reverse UTF-8 text while preserving grapheme clusters, operating as a minimal server via stdio.
Automate the collection, summarization, documentation, and publishing of code and design decisions from AI coding sessions.
Provides comprehensive, actively maintained n8n skills for AI assistants, consolidating best practices and crucial community fixes.
Gives AI coding assistants instant access to your private documents—API specs, research papers, internal docs—without ever sending data to the cloud.
Enables AI assistants to access a database of human-curated content recommendations.
Fetches real-time weather information for any location worldwide using the wttr.in API and integrates with MCP clients like Claude.
Enables search, navigation, and content extraction from markdown files for AI tools and development workflows.
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