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    Enables AI-driven frontend component design and code generation from natural language requirements. Supports Vue, React, and Angular with intelligent component decomposition, API design, and complete project generation.
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    Provides professional UI/UX design expertise and frontend development tools for analyzing interfaces, generating design systems, and creating modern components with accessibility and best practices built-in. Supports React, Vue, Angular and other frameworks with seamless Claude Code CLI integration.
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    MIT
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    Enables AI agents to automate multiphysics simulations in COMSOL Multiphysics, covering model management, geometry building, physics configuration, and results visualization. It supports complex simulation workflows through the MCP protocol and includes integrated knowledge retrieval for documentation and troubleshooting.
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    MIT
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    Provides centralized, persistent memory and knowledge graph for AI agents via Raggy, enabling recall of decisions, errors, and preferences across sessions.
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    MIT
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    Provides startup verification tools including domain/package/org availability checks, unit economics, runway, market size, and cap table calculations with transparent formulas and warnings to prevent common agent errors.
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    Provides computational tools for systematic reasoning, including boolean evaluation, date arithmetic, object counting, state tracking, and format validation, to enhance agent capabilities and eliminate calculation errors in reasoning tasks.
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    Enables AI coding assistants like Cursor and Claude to engage in real-time two-way dialogue, allowing them to pause for clarification and request user confirmation before executing tasks. It features a modern UI for managing interaction prompts, predefined options, and project analysis to reduce errors and API costs.
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    MIT
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    Engram MCP provides persistent, cross-session memory for AI agents by automatically encoding errors, decisions, and discoveries during development sessions. It enables local, intelligent recall and automated context management to help AI learn from experience and avoid recurring mistakes.
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    Business Source 1.1
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    A reusable AI software development team built on MCP. 13 specialized agents (Project Manager, Backend, Frontend, QA, Security, DevOps, UX, and more) collaborate via shared SQLite state. Exposes 44 MCP tools across 12 domains. All discussions and decisions are stored in the database so agents get back up to speed immediately when re-loaded.
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    MIT