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    Provides tools to retrieve the GodPrompt universal system prompt and its components (core skill, protocols, gates, anti-patterns) for AI software development, plus task classification. Designed for progressive context usage.
    7
    2,705 npm
    1
    MIT
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    Enables AI agents and software to detect ambiguous wording in text and receive location, category, explanation, and suggested clarification questions for each signal.
    1
    Apache 2.0
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    Enables natural-language interaction with Ladybug Tools for building performance simulation, 3D modeling, and data visualization, allowing agents to perform complex environmental analysis tasks without CAD software.
    3
    10
    GPL 3.0
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    MCP bridge for Distill — let Claude, Cursor, or any MCP client rename files based on AI content analysis. 9 tools for renaming, suggestions (preview), folder watching, history, and rule management. Five AI providers: Claude, OpenAI GPT-4o, Gemini, Ollama (local), Apple Intelligence. Bridge open-source (MIT), Distill app is commercial (pay-per-use, no subscription).
    9
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    MIT
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    A fail-closed MCP verification layer for DFT-to-MLIP workflows, gating Quantum ESPRESSO data ingestion, MACE/RuNNer dry-run command plans, model comparison, and reference validation behind scientific, software, and numerical checks with explicit PASS/WARN/FAIL/QUARANTINE/NOT_RUN statuses.
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    Enables natural language interaction with ANSYS Mechanical simulation software via gRPC, allowing users to manage geometry, mesh, boundary conditions, solve analyses, and generate reports through MCP-compatible AI clients.
    17
    Apache 2.0
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    Enables AI agents to respond to users with live, persistent, interactive web apps served at a single URL that evolve in place as the conversation continues. It exposes UI generation and evolution tools over MCP so agent responses can include clickable buttons and streaming interfaces alongside chat replies.
    3
    Apache 2.0
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    A versatile MCP server that enables natural language software development tasks using multiple LLM providers (OpenAI, Anthropic) with real-time visualization, cost management, and a comprehensive tool suite.
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    Enables multi-stage AI software development orchestration by allowing users to assign different AI models to roles like architect, developer, tester, and reviewer, and execute them via MCP tools or a desktop console.
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