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Provides a tutorial app for Model Context Protocol (MCP) in Python, demonstrating core MCP concepts with a simple local database.
Enables LLMs to interact with and manage Obsidian vaults through the Model Context Protocol.
Retrieves YouTube video transcripts in various formats for Large Language Model (LLM) integration.
Provides a suite of mathematical functions accessible via a Model Context Protocol (MCP) server.
Enables an MCP client like Claude Desktop to securely read files directly from your local disk.
Provides a sample Model Context Protocol server offering tools to fetch public API data like quotes, jokes, and advice.
Demonstrates a Model Context Protocol (MCP) server implementation using streamable HTTP transport with the FastMCP framework.
Integrates up-to-date, version-specific code documentation and examples directly into LLM prompts to enhance code generation accuracy.
Provides comprehensive resources, tools, and prompts for simulating and analyzing M/M/1 queuing systems, enabling large language models to assist with complex operations research tasks.
Enables AI assistants to access and search through organized markdown documentation files automatically.
Integrates BookStack documentation with Cursor AI, enabling AI-powered content management.
Exposes online judge problem data from platforms like LeetCode and Codeforces to LLM clients through a standardized protocol.
Stores and manages project architecture, modules, and scripts locally for system design.
Provides an AI-native interface to query 3,400 Norwegian statutes and legal documents from official sources like Lovdata and Stortinget.
Streamlines Python project creation and augmentation with configurable YAML presets and integrated tooling.
Provides structured, bilingual access to key Swedish government cybersecurity standards for compliance and security intelligence.
Provides programmatic access to educational content and information from WirLernenOnline.de, Germany's OER platform.
Serves GoHighLevel API documentation through a structured query interface for AI agents and developers.
Provides LLMs with comprehensive Hearthstone card data, deck analysis, and strategic coaching capabilities.
Enables AI agents to interact with Trajan developer workspaces, allowing them to read documentation, create tasks, browse repositories, trigger doc generation, and sync to GitHub.
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