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"Unity game development engine and related resources" matching MCP servers:

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    Indexes Unity projects into a SQLite database and exposes 23 MCP tools for Claude to explore scenes, prefabs, scripts, and assets via structured queries.
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    MIT
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    A code understanding and generation system designed for Galacean Engine that helps LLMs comprehend the engine architecture and generate high-quality engine code based on user intent.
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    Eyes for AI coding agents: deterministic MCP server that tells the LLM which CSS rule wins, in which file, on which line — and why. Cascade verdicts, blast radius, interaction timelines, pixel-perfect audits.
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    Apache 2.0
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    Provides comprehensive development tools for FastMCP projects including documentation access, NPM package version management, and TypeScript type definitions retrieval. Enables developers to fetch FastMCP documentation, analyze NPM packages, and access MCP architecture information through natural language.
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    An MCP server that gives AI assistants tools to generate AccelByte AGS uGUI prefabs in Unity projects, look up AccelByte Unity SDK best practices, search Bytewars C# example components, and configure SDK credentials from a Claude Code or Cursor session.
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    An MCP server providing 15 tools for Unity projects, including Unity Gaming Services LiveOps (Economy, Cloud Save, Cloud Code), build-size and bloat analysis, and store-compliance checks.
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    MIT
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    Read-only MCP server that provides AI agents with context about Unity project relationships, including scenes, prefabs, scripts, GUIDs, and code impact analysis.
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    Apache 2.0
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    Audits AI agent skills for safety using static, semantic, adversarial, and supply-chain analysis, providing scores and risk flags. Can be run via CLI, CI, or as an MCP tool from Claude Code, Cursor, and Codex.
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    Apache 2.0
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    A task-aware context compression layer for Agent workflows, RAG pipelines, and AI Coding assistants, reducing noisy logs, retrieval chunks, and code context into high-signal LLM inputs via CLI, Python SDK, and MCP.
    363
    MIT
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    A local code-intelligence engine for AI agents that indexes repositories into a PostgreSQL-backed code graph and serves structured, token-budgeted context over MCP and HTTP, enabling targeted queries on symbols, dependencies, contracts, and impact analysis.
    Apache 2.0
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    Enables AI agents to interact with Unity projects through multimodal vision, code analysis, asset management, and scene manipulation. Supports real-time Unity editor control, project search, script creation, and visual debugging through screenshots.
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    MIT
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    Enables AI-assisted development of CodeQL queries for security analysis through the Model Context Protocol. Provides tools for compiling, testing, and executing CodeQL queries across multiple programming languages.
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    A local-first, agent-agnostic MCP server that provides semantic search, persistent memory, and automated code review capabilities for development workflows. It leverages the Auggie SDK to offer advanced tools for codebase indexing, implementation planning, and deterministic static analysis.
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