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Searches the barnsworthburning.net website via the Model Context Protocol.
Enables programmatic access to the IACR Cryptology ePrint Archive for efficient retrieval of cryptographic research papers.
Integrates Canvas LMS with LLM clients via the Model Context Protocol, enabling interaction with course content, assignments, and more through a natural language interface.
Explores Retrieval-Augmented Generation (RAG) and Multi-Cloud Processing (MCP) server integration using free and open-source models.
Quickly sets up a Model Context Protocol (MCP) server with documentation tools and extensible architecture.
Integrates WikiJS with AI assistants, enabling them to search and retrieve content from your WikiJS knowledge base.
Automates documentation generation from source code comments, parsing classes, functions, and variables to produce output in formats like HTML and PDF.
Provides handy utilities for Advent of Code, such as fetching puzzle input, exposed via an MCP server.
Provides a Retrieval-Augmented Generation (RAG) database for PDF documents, leveraging semantic chunking and vector search for intelligent content retrieval.
Simulates and animates complex quantum physics phenomena with high-quality visualizations.
Enables AI agents and external applications to easily explore and manage documents within local Obsidian vaults through a powerful tool API.
Provides project-specific context and development templates to AI models within IDEs like Cursor.
Integrates Yuque documentation with Cursor's Model Context Protocol, enabling direct access to Yuque articles and knowledge bases.
Provides a fast, local, and offline-first Model Context Protocol server for comprehensive Shopify Liquid documentation, designed for AI assistants and developer tools.
Orchestrates comprehensive travel planning by leveraging an agentic workflow, integrating multi-LLM support and essential travel tools through the Model Context Protocol.
Provides a comprehensive Model Context Protocol (MCP) server for complete Roblox ecosystem documentation.
Integrates Google NotebookLM with AI assistants, providing direct access to notebooks and their content for intelligent querying.
Connects Large Language Models (LLMs) directly to the arXiv repository for semantic paper discovery, automated citation generation, and direct PDF downloads.
Provides tools, SDKs, and Model Context Protocol (MCP) servers for accessing, searching, and building AI applications on the Oak National Academy Open Curriculum data.
Indexes and searches local Markdown files with high performance, offering BM25 full-text, vector semantic, and hybrid search, alongside an MCP server for AI agent integration.
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