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Explores Retrieval-Augmented Generation (RAG) and Multi-Cloud Processing (MCP) server integration using free and open-source models.
Programmatically retrieve cryptographic research papers from the IACR Cryptology ePrint Archive.
Retrieves YouTube video transcripts in various formats for Large Language Model (LLM) integration.
Provides an MCP server for querying Star Wars universe data via SWAPI.
Automate comprehensive documentation generation for diverse software projects, analyzing structure, dependencies, and code metrics.
Provides an MCP server to access and query historical merit records and public reports of independence patriots from the Ministry of Patriots and Veterans Affairs' electronic archives.
Streamlines the creation of educational content with direct API integration for the EuConquisto Composer platform.
Integrates Raindrop.io bookmarks with Large Language Models using the Model Context Protocol.
Facilitates multilingual translation and resource management via the Model Context Protocol (MCP).
Provides comprehensive tools for managing and accessing GameMaker Language (GML) documentation, including an MCP server, CLI utilities, and HTML-to-Markdown conversion.
Serves remote Markdown files as accessible MCP resources.
Explore and learn about Model Context Protocol (MCP) server implementations through a collection of experimental servers.
Streamlines README file management for development projects by automating creation, content generation, summarization, and AI-driven analysis.
Provides comprehensive access to Kali Linux tool documentation directly within Claude Desktop.
Provides simple local stdio MCP server examples compiled with Bun for integrating custom functionalities into Claude.
Automates project analysis and generates comprehensive development specifications, powered by AI integration.
Imports Supernotes exports into Obsidian daily notes using the Model Context Protocol (MCP).
Streamlines software development projects by providing structured workflow tools across various complexity levels and phases.
Provides AI agents with real-time access to Wikipedia for research and information retrieval.
Serves markdown documents from a local directory, providing a simple interface for managing and accessing them using the Model Context Protocol (MCP).
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