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"Full-Stack MEAN CRUD Development" matching MCP servers:

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    Refines and improves AI prompts using workspace-aware context from your project's tech stack, structure, and dependencies. Includes tools to analyze prompt quality and generate well-structured prompts from raw ideas.
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    An MCP server that automates the full software development lifecycle through an AI-driven TDD state machine. It handles everything from task decomposition and test-driven development to integration testing and automated pull request creation.
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    Enables AI agents to programmatically create, manage, and execute independent Python workflow scripts with full CRUD operations, allowing AI to build and modify automation workflows themselves rather than just executing pre-built ones.
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    MIT
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    Enables AI agents to create, edit, and run Godot 4.5+ games by providing tools for project scaffolding, scene manipulation, and engine interaction. It supports full game development workflows including node editing, script attachment, and project execution with debugging capabilities.
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    5
    MIT
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    The Modes MCP Server allows for comprehensive management and control over custom operational modes, supporting full CRUD operations, schema validation, and real-time configuration changes for enhanced mode management.
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    Automatically analyzes and dispatches user tasks to appropriate handlers, supporting development task processing via Miyabi Agent and medical AI academic article generation. Provides intelligent task classification and routing for development, writing, and general tasks.
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    Enables complete RPG Maker MZ game development through MCP tools, including autonomous game creation from concepts, AI-generated assets using Gemini 2.5 Flash, and programmatic control over maps, events, characters, and databases. Supports full game creation workflow from a single command with automatic story, asset, and implementation generation.
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    Turns AI assistants into full-stack software engineers with 36 tools for cognitive reasoning, code validation, project scaffolding, and AI/IDE configuration generation across 130+ programming languages, databases, and frameworks.
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    Enables AI agents to perform step-through debugging of Python, JavaScript/Node.js, and Rust programs using the Debug Adapter Protocol, with support for breakpoints, variable inspection, and stack traces.
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    MIT
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    An MCP server providing 82 tools for persistent memory, governance, and consciousness continuity for AI instances. Enables local-first, runtime-reflexive operation with cross-device access and recursive self-awareness.
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    One deterministic reasoning stack behind a single MCP endpoint, chaining scenario simulation, decision analysis, and precision computation with 40-digit decimal math.
    24
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    MIT
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    DockaShell is an MCP server that provides AI agents with isolated Docker containers for persistent shell access, file operations, and full audit trails, enabling autonomous development and self-evolving workflows.
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    Apache 2.0
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    We built a hosted MCP server that gives AI agents two capabilities through a single connection: 1. img-forge — Image generation across 5 quality tiers (SDXL Lightning to Gemini 3.1 Flash). One tool call, 5-30 seconds, done. 2. Stackbilder — Full-stack architecture scaffolding. Describe a product, get a 6-mode pipeline (Product → UX → Risk → Architect → TDD → Sprint)
    MIT
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    A Unity Editor MCP server that gives Claude Code full control over Unity projects through 268 tools, 7 resources, and specialized AI agents. It enables AI-assisted game development by allowing Claude to see, create, modify, and inspect everything in Unity including scenes, GameObjects, scripts, and builds.
    6
    MIT