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Orchestrates comprehensive travel planning by leveraging an agentic workflow, integrating multi-LLM support and essential travel tools through the Model Context Protocol.
Provides example Model Context Protocol servers for AI applications to securely connect to external data sources and tools.
Connects and manages Notion content through large language models like Claude.
Provides clarity and a new perspective on learning the German language through an AI-powered approach.
Converts Markdown documents containing Mermaid diagrams into high-quality PDFs and renders standalone Mermaid diagrams to PNG or PDF formats.
Integrates with Hyperskill to enable AI agents to explain programming topics using Hyperskill's learning resources.
Indexes and searches Jekyll blog content, enabling AI assistants to interact with your posts via the Model Context Protocol.
Provides a Next.js project bootstrapped with create-next-app to assist in learning AI concepts.
Automates the generation of Mermaid diagrams from code and beautifies SVG outputs, functioning as a powerful Model Context Protocol server.
Enables AI assistants to fetch, explore, and analyze source code from any NPM package in real-time.
Offers a robust content management solution through a TypeScript-based server for Markdown processing, document generation, and intelligent note searching.
Integrates the Pylpex programming language interpreter into external applications via a server.
Provides Model Context Protocol (MCP) access to IQ.wiki data for use by AI assistants and other compatible clients.
Integrates large language models with OpenStax textbooks, providing AI-powered educational content access and generation capabilities.
Provides RAG-based access to Bluetooth specifications from PDFs using hybrid search.
Processes PDF documents, extracts text, and recognizes LaTeX equations for use with AI models.
Provides seamless access to academic literature databases, enabling researchers to accelerate their literature review process with LLMs and MCP clients.
Fetches comprehensive, peer-reviewed medical information from StatPearls to provide reliable health data to AI systems.
Exposes PubNub SDK documentation and API resources to Large Language Model (LLM)-powered tools, enhancing their ability to interact with PubNub.
Provides example MCP client and server implementations using SDK and JSON-RPC to facilitate learning the Model Context Protocol.
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