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    Bridges Django applications with AI assistants by implementing the Model Context Protocol, enabling AI to interact with Django data and functionality through simple decorators.
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    16
    Apache 2.0
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    Automatically exposes Django REST Framework endpoints as MCP tools with zero configuration, supporting multiple transports and authentication.
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    MIT
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    Persistent daemon that compresses codebases via AST body folding before indexing them for AI coding assistants like Claude Code and Cursor 57-89% token reduction with sub-millisecond queries, verified on Django, Spring, and Next.js.
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    Enables AI assistants to access Scout Monitoring performance and error data through Scout's API. Provides traces, errors, metrics, and insights for Rails, Django, FastAPI, Laravel and other applications to help identify and fix performance issues like N+1 queries, slow endpoints, and memory bloat.
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    MIT
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    Framework-aware code intelligence MCP server that builds a cross-language dependency graph from source code. 53 integrations (Laravel, Django, Rails, Spring, NestJS, Next.js, and more) across 68 languages. 100+ tools for navigation, impact analysis, refactoring, security scanning, session memory, and CI/PR reports — up to 97% token reduction.
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    MIT
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    This project provides a robust integration between AI assistants and FreeCAD CAD software using the Model Context Protocol (MCP). It allows external applications to interact with FreeCAD through a standardized interface, offering multiple connection methods and specialized tools.
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    24
    MIT
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    Smart Device Control šŸŽ® šŸ’” Lights: Brightness, color, RGB šŸŒ”ļø Climate: Temperature, HVAC, humidity 🚪 Covers: Position and tilt šŸ”Œ Switches: On/off 🚨 Sensors: State monitoring Intelligent Organization šŸ  Grouping with context awareness. Robust Architecture šŸ› ļø Error handling, state validation ...
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    163
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    Apache 2.0