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Provide personalized Indian movie recommendations directly within Claude Desktop.
Facilitates developer documentation, configuration, and settings search for AI assistants and development workflows.
Provides programmatic access, search capabilities, and content recommendations for AWS documentation.
Enables Large Language Models to retrieve and reference Jewish texts from the Sefaria library through a standardized interface.
Manages intelligent versioning of code projects and automates documentation generation, offering CLI, REST API, and MCP interfaces for modern development workflows.
Facilitates interaction with Aptos documentation and creation of full-stack Aptos blockchain applications.
Provides a user management service leveraging the Model Context Protocol.
Integrates Obsidian vaults as structured context sources for LLMs like Claude Desktop, enabling multi-vault management, token-efficient search, and markdown-native editing.
Delivers official Next.js 16 documentation directly to AI assistants and editors to ensure accurate and up-to-date development guidance.
Augment AI responses with relevant context by retrieving and processing documentation through vector search.
Provides a simple Model Context Protocol (MCP) server for accessing Document360 knowledge base content via GET operations.
Facilitates programmatic interaction with a local Anki desktop application for efficient flashcard review and creation.
Compiles LaTeX templates via a server for programmatic document generation.
Exposes financial independence calculation functions to AI assistants via the Model Context Protocol.
Extracts PDF annotations, highlights, and text, enabling AI clients to safely interact with document content.
Integrates YouTube functionality into Large Language Models (LLMs) via the Model Context Protocol (MCP).
Enables AI assistants to fetch, explore, and analyze source code from any NPM package in real-time.
Enables AI models to interact with external tools and data sources.
Streamlines README file management for development projects by automating creation, content generation, summarization, and AI-driven analysis.
Showcases projects related to Anthropic's Model Context Protocol (MCP).
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